Retrospective Theses and Dissertations 1962 Infiltration of water into soils as influenced by antecedent moisture Richard Ervin Green Iowa State University Follow this and additional works at: http://lib.dr.iastate.edu/rtd Part of the Agriculture Commons Recommended Citation Green, Richard Ervin, "Infiltration of water into soils as influenced by antecedent moisture " (1962). Retrospective Theses and Dissertations. Paper 2087. This Dissertation is brought to you for free and open access by Digital Repository @ Iowa State University. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Digital Repository @ Iowa State University. For more information, please contact [email protected]. This dissertation has been 62-6495 microfilmed exactly as received GREEN, Richard Ervin, 1931MFILTRATION OF WATER INTO SOILS AS INFLUENCED BY ANTECEDENT MOISTURE. Iowa State University of Science and Technology Ph.D., 1962 Agriculture, general University Microfilms, Inc., Ann Arbor, Michigan INFILTRATION OF WATER INTO SOILS AS INFLUENCED BY ANTECEDENT MOISTURE by Richard Ervin Green A Dissertation Submitted to the Graduate Faculty in Partial Fulfillment The Requirements for the Degree of DOCTOR OF PHILOSOPHY Major Subject: Soil Management Approved: Signature was redacted for privacy. In Charge of Major Work Signature was redacted for privacy. Hea Major Department Signature was redacted for privacy. Dear* of ^Gradua illege Iowa State University Of Science and Technology Ames, Iowa 1962 ii TABLE OF CONTENTS Page INTRODUCTION 1 REVIEW OF LITERATURE 5 Influence of Antecedent Moisture on Infiltration Development and Application of Moisture Diffusion Theory Measurement of Capillary Conductivity Field Measurement • of Infiltration Aggregate Stability and Surface Sealing EXPERIMENTAL PROCEDURES General Approach Field Procedure Laboratory Procedure Calculation of Infiltration from Conductivity Data RESULTS AND DISCUSSION Physical Properties of Soil Profiles Aggregate Stability and Surface Sealing Moisture Retention, Diffusivity, and Capillary Conductivity Field Infiltratiôn Calculated Infiltration 5 9 25 29 30 34 34 35 42 53 60 60 61 71 82 100 SUMMARY AND CONCLUSIONS 123 LITERATURE CITED 128 ACKNOWLEDGMENTS 134 APPENDIX A 135 APPENDIX B 138 1 INTRODUCTION Water infiltration into soils is a process of major importance to agriculturalists and hydrologists and to the general public. Industrial and domestic demands on water resources are increasing rapidly as the urban population con tinues to expand. Increased crop production in agriculture to meet growing population needs requires a more judicious use of existing water sources both in irrigated and non-irrigated regions. Soil management research has as one of its principle objectives the development of tillage and cropping practices which are conducive to high rates of water infiltration. The importance of water infiltration into soils has been recognized for several decades, as is evidenced by the de tailed studies of Wollny in Germany as early as 1874 (Baver, 1938). In the United States, extensive research on infiltra tion was undertaken during the 19301 s when soil and water conservation became a matter of national concern. Hy drologists, interested in applying the infiltration approach to prediction of surface runoff from watersheds, required quantitative estimates of water intake rates of soils over a wide range of cover and soil conditions. Infiltration rates"*" "*"The term "infiltration rate" is used throughout this dissertation in accordance with the usage recommended by the Soil Science Society of America Committee on Terminology (Richards, 1952). It is synonymous to "infiltration capacity" 2 of numerous soils were measured by a variety of methods, and the effects of tillage, surface sealing by rainfall impact, moisture content, and other important factors were noted by many workers. o Antecedent soil moisture which influence infiltration. is among the major factors Since unsaturated flow of water in soils is closely related to the soil moisture content, the used widely by hydrologiste, and is defined as the maximum rate at which a soil in a given condition at a given time can absorb water applied in excess at the surface, either as rainfall or shallow impounded water. The infiltration rate of a soil does not usually refer to a discrete value, but to the graph of water entry rate versus elapsed time, since the rate of entry generally decreases rapidly with time after in filtration begins. Thus, both the magnitude of intake rate values and the shape of the infiltration rate versus time curve are implicit in the term "infiltration rate". Since the rate of water intake does approach a constant value with time some investigators have used the "final" or "equilibrium" infiltration rate to characterize a given soil or soil surface condition with respect to its ability to absorb water, but such a discrete value gives only limited information and is not adequate for most applications. The frequent mention herein of the "effect" of various factors on infiltration refers to the way in which factors such as moisture content, surface sealing, etc. influence water intake rates with time during the period of infiltration. n The term "antecedent soil moisture" or "antecedent moisture" will be used to refer to the soil moisture status of the entire soil profile previous to the beginning of rain or application of water to the soil. The word "antecedent", meaning prior or going before in time, has been used widely by hydrologists in connection with soil moisture effects on runoff and infiltration. The term "moisture effect" will be used occasionally for brevity, and refers to the effect of the antecedent moisture status of the soil on subsequent in filtration. "Initial moisture", as used herein, refers to the moisture content of a discrete soil layer or soil sample. 3 infiltration rate is dynamically influenced by the moisture distribution within the soil profile, both at the beginning of infiltration and at later times. The importance of the moisture effect on infiltration has been widely recognized and measured qualitatively, but quantitative estimates of the moisture effect over a broad range of antecedent moisture conditions have been difficult to obtain. Field infiltration studies, using sprinkling infiltrometers, are being conducted to determine the effect of tillage and other soil management practices on infiltration and to characterize different soils with respect to infiltration. Such research is hindered in that results from field measurements of infiltration on a given soil with given surface conditions may vary considerably, depending on the moisture status of the soil profile. Thus, it is extremely important to both hydrologie and soil manage ment research that procedures be developed to account for the moisture effect on infiltration. Field measurements are ex pensive and generally limited to a few antecedent moisture conditions. Statistical correlation of infiltration with various indices of soil moisture content have provided only limited information on the moisture effect. Recent work by Philip (1957f) suggests that the moisture effect on infiltration should be estimable by the application of moisture diffusion theory, utilizing laboratory measure ments of capillary conductivity and soil moisture retention. 4 However, until recently, the only available method of solving the moisture flow equation assumed an isotropic soil and required that the antecedent moisture content be uniform with depth, conditions which are seldom met in the field. A recently developed numerical procedure (Hanks and Bowers, 1962a) allows solution of the flow equation for layered soils with non-uniform antecedent moisture profiles, thus providing a means of applying theoretical developments to actual field problems. The purpose of the present study was to investigate prediction of infiltration rates as influenced by antecedent moisture, making use of Hanks and Bowers' numerical procedure and employing recent improvements in the laboratory measurement of capillary conductivity. Field measurements of in filtration on two soils under a variety of antecedent moisture and surface conditions provided a means of checking the validity of theory calculations and gave a measure of the moisture effect on infiltration relative to the effects of tillage, surface sealing, and soil morphological differences. Attention was also given to the effect of soil moisture con tent on aggregate stability and surface sealing. O The terms "capillary conductivity" and "capillary diffusivity" are not synonymous, but may be used interchangeably in the practical sense in that they both refer to "the physi cal property relating to the readiness with which unsaturated soils transmit water" (Richards, 1952, p. 87). The distinction between the two terms will be clarified in later discussion. D REVIEW OF LITERATURE Influence of Antecedent Moisture on Infiltration Norton (1933), one of the first to recognize the impor tance of infiltration in the hydrologie cycle, observed that in the field the maximum water intake rate was obtained during short storms following dry periods, and minimum rates occurred during prolonged wet periods. Thus, he recognized an ante cedent moisture effect on infiltration, but later expressed the opinion that the infiltration process was controlled primarily by conditions at the soil surface (Morton, 1940). Emphasis by Duley (1939) on the effect of surface sealing in decreasing the rate of infiltration supported Morton's view point. It remained for Bodman and Colman (1944) to show by careful laboratory experiments that the decrease in infiltra tion rate with time was proportional to the decrease in potential gradient within the "transmission" zone during infiltration. The combined work of the forementioned re searchers emphasizes that water infiltration into soils is a' dynamic process in which both the moisture potentials within the soil and soil structural conditions at the surface may change strikingly during the early stage of infiltration, causing a reduction in infiltration rate with elapsed time. Infiltration is closely related to the pore space 6 available for storage of infiltrating water (Hansen, 1955). On some soils the total pore space may be reduced when soil colloids swell upon wetting. Browning (1939) showed that if the volume change of a soil (especially subsoils) exceeded 20 percent upon wetting, then the infiltration rate was reduced to extremely low values. The importance of the antecedent moisture effect on in filtration has been emphasized by a number of researchers in both laboratory and field studies. Neal (1938), in a labo ratory study of the effects of degree of slope, surface con dition, and rainfall intensity on infiltration, found that initial soil moisture content had a greater effect on the rate of infiltration during the first 20 minutes of simulated rainfall than any other factor. Other workers (Free et al., 1940; Arend and Morton, 1943) obtained similar results in field measurements with infiltrometers. Brakensiek and Frevert (1961) emphasized the need of accounting for ante cedent moisture when using infiltrometer data to estimate runoff on actual watersheds. Jamison and Thornton (1961) in an analysis of 12 years' rainfall-runoff data from runoff plots and field terraces under various surface and cover conditions found that antecedent moisture was the dominant factor determining infiltration rates. Similar results were obtained by Thames and Ursic (1960) on small watersheds in northern Mississippi where surface runoff was found to be 7 strongly correlated with available storage in the upper six inches of soil. Using runoff plot and rainfall data, Bertoni et al. (1958) calculated infiltration rates on Marshall silt loam and attempted to determine the effect of wetness of the soil, slope length, and season of the year on infiltration rate. An antecedent precipitation index (API) was correlated with various infiltration indices as a measure of the effect of soil wetness on infiltration. Antecedent precipitation was highly correlated (negatively) with cumulative infiltra tion but very lowly correlated with infiltration rate. Using a similar approach, Ligon and Johnson (1960) found the API to be unrelated to either the initial or final infiltration rate. These runoff plot results indicate the difficulty of defining the extent of causal relationships in field infiltration studies in which a number of factors vary beyond the control of the experimenter. A few researchers have sought to evaluate the effect of antecedent moisture on infiltration in field experiments by statistical correlation of cumulative infiltration for a given time with the moisture content or "available storage" in the surface 6 or 12 inches of soil. Tisdall (1951), Reinhart and Taylor (1954), and Ayers and Wikramanayoke (1958) used similar procedures and obtained significant correlations between antecedent moisture and cumulative infiltration. Linear regression equations were developed 8 which could be used to predict cumulative infiltration in a given time as a function of the initial moisture content. This approach is useful in irrigation work where it is de sirable to know how much water will enter the soil during a given period of application. However, the prediction equa tions obtained are of limited value since they are applicable to only those time periods for which they were derived, and in addition, they provide little information on the rate of infiltration with time. Other workers have attempted to predict infiltration by accounting for both "available storage" and the rate of water movement through field cores. Schiff and Dreibelbis (1949) related infiltration rates to antecedent soil moisture by measuring the rate of water movement through field cores at different initial moisture contents. Their recognition of the influence of antecedent moisture on infiltration and their attempt to predict the moisture effect utilizing labo ratory measurements are noteworthy. Diebold (1951), in a similar approach, found that when a rate prediction equation included a saturated conductivity factor and a water storage capacity factor, the variables accounted for 55 percent of the variation in field infiltration rates, as compared to 44 percent without the water storage factor. Despite the shortcomings of the above methods, they represent attempts to incorporate into one prediction equation 9 two factors which are now known to influence infiltration rates, the rate of moisture flow in the soil and the volume of empty pore space which can be filled by incoming water. It is doubtful that adequate prediction of infiltration rates or of the moisture effect on infiltration can be accomplished without defining more precisely the functional relationship of infiltration to the soil physical properties governing moisture flow. Development and Application of Moisture Diffusion Theory In addition to the voluminous empirical evidence of the effect of antecedent moisture on infiltration in field and laboratory studies, developments in the theory of unsaturated moisture flow have also emphasized the moisture dependent nature of water movement in porous materials. Considerable progress has been made in describing moisture flow mathemati cally utilizing diffusion theory and in identifying the physi cal parameters which govern moisture flow. The purpose of this section is to review briefly the development of moisture diffusion theory, including some simple derivations of flow equations. Such review appears worthwhile to provide adequate background for later discussion and to show the pertinence of theoretical developments to practical infiltration problems. 10 Buckingham (1907), in his studies of capillary action in soils, proposed that moisture flow in unsaturated soils was roughly analogous to heat flow through an insulated metal bar or the flow of electrical current through a wire. Thus he proposed that capillary flow of water could be described by an equation similar to that describing heat or electrical flow, that is Q = Xs where Q is the current density or flow velocity per unit area, S is the gradient in the attractive force, and X denotes the capillary conductivity of the soil. His capillary rise experiments demonstrated (Buckingham, 1907, p. 27) that water flows "from places of high to places of low water content, just as heat flows from high to low temperature, or electricity from high to low potential". "With regard to moisture flow, Buckingham states, "the driving force or cause of the current is the different attraction for water of two portions of the soil that are not equally moist", and "the conductance of the soil is the facility with which it allows water to flow through it, or its power to conduct water". Thus, by analogy with the known laws of heat and electrical flow, Buckingham expressed unsaturated moisture flow in terms of the capillary conductivity and the gradient in capillary potential. In addition to this significant advance in de fining the dynamics of unsaturated moisture flow, Buckingham observed that both the capillary potential, t}>, and the capil lary conductivity, K, were not constants for a given material 11 but were largely dependent on soil moisture content, 9. Thus Buckingham sought to investigate the functional relationships i|)(6) and K(9). Two ideas arising from Buckingham's work which are of special interest in the present study are: (a) Moisture flow in unsaturated soils is governed by physical properties of the soil-water system and should be amenable to description by a mathematical equation of physical significance. (b) The two physical properties relevant to moisture flow, capillary conductivity and capillary poten tial, are both moisture dependent variables, emphasizing the inherent importance of soil moisture content in all processes involving un saturated moisture flow, such as infiltration. The flow of water through uniform saturated soils had been adequately described before the time of Buckingham by Darcy's law, which is analogous to Fourier's law, Ohm's law, and Fick's law, and may be expressed for one dimension by the equation where v is the quantity of water conducted per unit time across unit area in the x direction, K is the hydraulic con ductivity and ai/3x is the potential gradient in the x direc tion. In the saturated case, the proportionality factor K is a constant for:a given pore geometry and water viscosity, and thé potential gradient results from a positive head differenc 12 between two points. In unsaturated flow, on the other hand, the conductivity depends on the moisture content (i.e. it is not constant) and the potential gradient results from both capillary and gravitational forces. Richards (1931) assumed the applicability of Darcy's law to unsaturated flow, and combining it with the equation of continuity, derived a dif ferential equation for capillary flow with the capillary potential, i|», as the dependent variable. Other workers (Gardner and Widtsoe, 1921; Childs, 1936a, b) used the dif fusion theory approach implicit in the concepts proposed by Buckingham, but assumed a constant diffusion coefficient. This approach was later shown experimentally to be inap propriate to unsaturated flow, owing to the moisture dependent diffusivity (Kirkham and Feng, 1949). For the purpose of definition, it should be noted that the diffusion coefficient or "diffusivity", D, arises as a proportionality constant in a diffusion equation of the type used in Fick's first law to express the movement of solute down a concentration gradient, i.e. q = -D^ (2) where q is the mass of solute passing in the x direction through unit area per unit time, and c is the concentration (mass per unit volume). The D in this case has the dimensions 13 (length)^ per unit time (Hodgman, 1960) The D also occurs in Fick's second law which is derived by combining the first law with the equation of continuity. The continuity requirement in this case is given by <3> *t = -£ which states, essentially, that the change in concentration of solute (gms.) in a given unit volume of solution equals the amount coming in minus the amount going out. The equation which results from combining Equations (2) and (3) is (4 = > Since in this case the diffusivity, D, is constant, the equa tion for one dimension may be written in the form t5 > » • 4Equation (5) is essentially the same equation derived by Childs (1936a) to describe moisture flow, assuming constant diffusivity. The use of the term "moisture diffusion" to describe the flow of water in unsaturated soils is not really appropriate since it is not a diffusion phenomenon, but rather a case of mass flow through films. However, because 14 capillary flow can be described by an equation such as (4) with D dependent on the moisture content, 9, the D(9) function X has been called the diffusivity. Klute (1952) derived the partial differential equation describing capillary flow in porous materials and solved it for the case of horizontal flow. The derivation of the mois ture flow equation is similar to the derivation of (4), and is instructive to follow briefly. In the moisture flow case, Darcy's law, (1), is combined with the continuity requirement, i.e. <6> #= to obtain If = where K is now the unsaturated hydraulic conductivity. Equa tion (7) gives the change in moisture content with time, when x is held constant, as a function of the conductivity and the potential gradient. In unsaturated flow the total potential, $, represents the sum of the capillary potential, t|j , and the Since for unsaturated moisture flow all variables are considered to be functions of the moisture content, it must be kept in mind that D = D(9), K = K(9) and tJj = i|>(9). For brevity the symbols D, K and will be used. 15 gravitational potential. called "tension", The capillary potential (often 11 suction" or "negative pressure") may be expressed as an equivalent height of a water column. If the soil at a height z above a reference plane has a capillary potential, t|j, then the gravitational potential at that height is z, and the total potential is given by = i|j + z. (8) If we let z = -x in (8) so that for the infiltration case x will be positive downward in the vertical dimension, and then replace Q in (7) by 3> = i|) - x, we get ^ ]. Taking the gravity term outside the brackets, we have S ( ? 9 > The gravity term, a K / a x , would equal zero in the case of horizontal flow. Assuming a single-valued relation between t|j and 0 we have by the chain rule, = KH H - DH uo) where D = K-^, and is called the diffusivity, with dimensions (length)^per unit time. Substitution of 0—^ for K-^ in (9) results in Equation (11), a partial differential equation 16 capable of describing the vertical movement of water in a semi-infinite column of uniform soil. H = (ID The similarity of Equation (11) without the gravity term to Equation (4) explains why Equation (11) is called a "moisture diffusion equation". The relationship of the diffusivity, D, to the conductivity, K, that is, D = should be noted, since both terms are used frequently to describe the moisture conducting properties of unsaturated soils. Equation (11), subject to the conditions t = 0, x>0, 0 = Q " (12) x = 0, t > 0, 0 = 6 Q describes water infiltration (Philip, 1957b), where is the antecedent moisture content (constant for the entire profile) 0 is the moisture content for t|) = 0, i.e. at saturation, x i Q the depth, positive downward, and t is time. The moisture 3 content is expressed on the volume basis, e.g. cm. water per cm.^ soil. Note that the condition t = 0, x > 0, 0 = 9fi requires a uniform moisture content with depth at the be ginning of infiltration. Philip (1957a) has developed a numerical procedure for 17 solving Equation (11) subject to (12) and has investigated on theoretical grounds a number of problems pertinent to infil tration. Philip's work, given in a series of seven papers entitled "The Theory of Infiltration" (Philip, 1957b, c, d, e, f; 1958a, b), represents an extremely important application of moisture diffusion theory, and is the first comprehensive analytical study of water infiltration. Philip has shown that the solution of Equation (11) subject to (12) can be expressed in a power series of time, the coefficients of which are functions of the moisture con tent and are found as solutions to a series of ordinary dif ferential equations by numerical methods. The solution to (11) is of the form x = at^ + J3t + yt3//^ + ... + fm(Q)tm//2 + ... with a = a(9), |3 = {3(9), etc. (13) For the range of t and D- and K-functions of interest to soil scientists, Series (13) con verges so rapidly that only a few terms are needed. Once the coefficients have been found by numerical procedures, Equation (13) can be used to determine the moisture profile with time, cumulative infiltration, and infiltration rate. Philip (1957b, p. 352) states: Since the total change of moisture content in the semi-infinite column equals the difference between 18 the time integral of the flux at x = 0 and at infinity, then 90 l = xde + Knt (14) ®n where i denotes the cumulative infiltration, K is the conductivity at the initial moisture conteRt, 9 , and t is time. This means, in essence, that the moisture accumulated during a given time interval is the difference between the quantity entering at the surface and the quantity leaving the bottom. However, the derivation of (14) is not immediately obvious. Figure la illustrates graphically the derivation of Equation (14). The graph labeled t = 0 gives the antecedent moisture content (dashed line) with depth prior to application of water. Note that this initial condition satisfies the re quirements of (12). After infiltration has occurred for a periiod t^, the moisture profile is represented by the graph labeled t = t^. The shaded area above the curve equals the volume of moisture which has accumulated during the period t = 0 to t = tp and represents the first term in (14) 90 xd9. 6n Corresponding to 9 Q is a conductivity K and corresponding to Q the initial moisture, 0 , is a conductivity Kn. During the Figure la. Schematic diagram to illustrate the deriva tion of Philip's expression for cumulative infiltration, 6. l - xdG + e Figure lb. n Predicted influence of initial moisture con tent, 9n, on infiltration rate ; numbers cor responding to each curve denote values of 0 in percent (taken from Philip, 1957f, p. 331) INFILTRATION RATE H -.0 PO CJl en ro o OJ CD CD CD 21 period of infiltration there will be a flux of Kn cm. per hour at the point x^ in the profile, so that the total amount of water passing by x^ in t^ hours is K^t^ cm., i.e. the last term in (14). For low values of ©^ (dry soil) Kn will be low, and the K t term of (14) will be negligible. On the other hand, when 9n is high (wet soil) Kn will be higher and the K t term may account for a sizeable fraction of the cumulative n infiltration. integral However, with ©n high, the value of the r®0 xdG can be expected to be lower for a given 8n period than when Qn is low, so that cumulative infiltration is generally lower for the wet case, in accord with field results (Reinhart and Taylor, 1954). Since the x in (14) is defined in terms of a power series of time in (13), when the indicated integration of (14) is accomplished, cumulative infiltration is given as a power series of time, i = 90 r 90 ad© + t [ P + Kn] + 9n (15) 9n 90 n 60 ad© is denoted by S and [ pd© + K ] is denoted by If 9n 9n A, and the Series (15) is truncated after the second term, 22 then we have (16) i = St^ + At. Differentiation of (16) with respect to t results in (17) Vq = %St ^ + A, where V is the infiltration rate witji time expressed in terms Q of a simple algebraic equation. This equation, based on physical theory, has been shown to compare favorably with empirical equations in common usage (Philip, 1957e; Watson, 1959). The reliability of Philip's solution has been demon strated in both the laboratory and field. Youngs (1957) con ducted laboratory infiltration measurements on columns of dry porous materials and obtained results which agreed well with those computed by the analytical solution. Nielsen et al. (1960) obtained reasonable agreement between calculated mois ture profiles and those measured on two. relatively uniform loess soils. Discrepancies between measured and calculated results were explained on the basis of non-uniformity of the soil profile. Supported by both laboratory and field results, the analytical solution can be considered essentially valid, and the further analysis of the infiltration process by 23 Philip accepted with some confidence. Of particular interest to the present study is the fifth paper of Philip's series (Philip, 1957f) which considers the influence of initial moisture content on infiltration. Figure lb (from Philip, 1957f, p. 331) shows the influence of soil moisture content on infiltration rate curves computed for Yolo light clay. Two points are emphasized by Philip with reference to Figure lb: first, the marked dependence of infiltration rate on ©n at small times, and second, the fact that as time increases, @n has less and less effect on the intake rate. Although the curves in Figure lb have not reached a common rate of intake for the largest time shown, the theory predicts that all curves will be asymptotic to the line K Q (conductivity at saturation) as time increases with out limit (Philip, 1957c). Although increased initial moisture has a depressing effect upon the infiltration rate, it increases the rate of advance of the wet front. This seemingly contradictory re sult is predicted by theory and has been shown experimentally by Colman and Bodman (1944). In one paper, Philip (1958a) considered the effect of water depth over the soil on infiltration. From the analysis he proposed that for a given water depth and time, the depth of the saturated zone increases as 9n increases. In addition, the rate of infiltration is increased with increasing water 24 depths over the soil, the depth effect being most profound on initially wet soils. Philip (1957f) emphasized that the infiltration process involves complex interactions between initial moisture con tent, moisture gradients in the profile, and the moisture dependence of the diffusivity and conductivity functions, making difficult the separation of clear-cut causal rela tionships which might enable one to explain, for example, the initial moisture effect. Among the more complex problems not treated in the analysis by Philip are the following: (a) infiltration into layered soils, or soils which are non-homogeneous in the vertical dimension, and (b) infiltration into soils, either uniform or layered, with non-uniform moisture contents with depth. A recently developed numerical method by Hanks and Bowers (1962a) makes possible the solution of a finite difference form of Equation (7) for the initial and boundary conditions arising in the problems mentioned above. The method requires, in addition to a knowledge of the boundary conditions of the specific problem, (a) ' a known relationship between moisture content and pressure head, i.e. the i|)(©) relation, and (b) a known relationship between moisture content and moisture diffusivity, i.e. the D(Q) relation. 25 The method does not require that (a) the soil be homogeneous in the vertical dimension, (b) the soil depth be semi-infinite, or (c) the initial moisture content be uniform. Hanks and Bowers (1962a) compared results from their numerical method with results from Philip's method for the case of horizontal flow, and obtained excellent agreement. Computa tions for infiltration into layered soils gave reasonable re sults, but for this case there were no other numerical methods for comparison. It appears, then, that this method of solu tion, making use of finite difference equations and a pro cedure adapted to high speed computers, may extend the application of diffusion theory to infiltration problems which are beyond the scope of previous approaches. Without the "homogeneous soil profile" and "uniform moisture profile" restrictions, the method may be useful to predict infiltration rates for the numerous boundary conditions existing in the field. Measurement of Capillary Conductivity The use of the moisture diffusion equation for a given soil requires knowledge of the functions K(9) and t|)(9). The i|j(9) relation is known to exhibit hysteresis when a desorption 26 process is followed by absorption. However , ;j>(9) can be determined for both drying and wetting processes using pres sure plate apparatus, and then the appropriate part of the hysteresis loop used for the phenomenon being studied. The measurement of K(9) or D(9) (one can be obtained from the other if the t|)(9) relation is known) is difficult, and all current methods have some limitations. » The first published laboratory method of determining the capillary conductivity of a soil (Richards, 1931) involved applying a differential water suction to the two ends of a soil sample and measuring all terms in Darcy's equation except the unknown K. This method has been widely used and is espe cially well adapted for use with "disturbed" soil samples and for suctions less than 200 cm. of water. A new apparatus for use with this method has been described by Nielsen and Biggar (1961). Another method, similar to that of Richards and used by Nielsen et al. (I960) allows evaporation from one end of a soil core to establish the pressure potential between the two ends of the core. In both of these methods the potential difference is measured with small tensiometers, and the con ductivity is calculated under steady-state flow conditions. Owing to the low air-entry values of tensiometers and mem branes generally used in these methods, they are limited to measurement of K at suctions less than 200 cm. water. Ceramic plates can be used, but cause a significant pressure drop 27 across the plate, and require long periods of time for the sample to reach equilibrium. Bruce and Klute (1956) developed a method, based on dif fusion theory, by which the D(9) function is calculated from the moisture content distribution curve for a soil core which has absorbed water at one end. The method yields only ap proximate values of diffusivity, especially at high moisture contents, but provides a rapid and relatively easy means of obtaining the diffusivity for disturbed soil samples. This method has been used by Hanks and Bowers (1962a), and the D values obtained yielded reasonable results when applied to various moisture flow problems. One limitation of the procedures discussed above is the necessity of measuring the o|)(0) function on a separate sample from the one on which K or D is measured. Gardner (1956) developed a method for determining capillary conductivity using measurements of the transient outflow from a soil sample in a pressure plate apparatus. By measuring the out flow as a function of time and using the solution of the moisture flow equation, the capillary conductivity can be calculated for each suction interval. It is assumed that for small pressure increments (a) the capillary conductivity is approximately constant, and (b) the relation between the water content and suction is linear. Both of these condi tions appeared to be met if the pressure increment was 28 sufficiently small. Gardner showed that when outflow mea surements were made using conventional ceramic plates the boundary condition requiring the lower boundary of the soil to be atmospheric at all times was not met for pressures less than 100 millibars. The resistance of the plate to water flow (plate impedance) was not negligible compared to the resistance to flow within the soil. Although this procedure does not allow one to measure capillary conductivity in the 0-100 millibar pressure range, it makes possible the measure ment of K at high pressures, and allows the simultaneous determination of the K(8) and x|)(6) functions. A refinement of Gardner's method was worked out by Miller and Elrick (1958) who accounted for membrane impedance in their analysis. The major limitation of the Miller and Elrick method lies in the uncertainty of determining the membrane impedance. In addition, unless good contact is established between the soil and the porous plate, an unknown contact impedance exists. Kunze and Kirkham (1962) have modified Miller and Elrick's method to simplify calculation of capillary con ductivity from pressure outflow data. In addition to reducing the computations, the method has provided two experimental advantages: (a) It makes use of early outflow when, the authors suggest, the diffusivity is essentially constant 29 owing to negligible moisture content changes re sulting from small outflow volumes. Also, the plot of time versus outflow is very sensitive for the early period. (b) The plate impedance need not be measured since it is automatically accounted for in the reduction of the data to a conductivity value. The outflow procedures discussed above are well adapted to studies involving the use of field cores. Since field cores cannot be duplicated exactly, the concurrent determina tion of K(0) and i|j(0) is a definite advantage. Field Measurement of Infiltration Water infiltration rates have been measured or estimated by several methods including sprinkling infiltrometers, ring infiltrometers, and hydrograph analysis on runoff plots and small watersheds. In many areas, methods making use of natural rainfall, such as runoff plots and watersheds, re quire a number of years to obtain reliable data owing to the low frequency of suitable runoff producing storms. In addi tion, the number of variables, especially in the case of watershed hydrograph analysis, make it difficult to obtain clear-cut relationships between infiltration and causal fac tors. Therefore, sprinkling infiltrometers and both single and multiple ring infiltrometers have been used extensively. In general, infiltration rates from ring infiltrometers are 30 higher and more variable than those obtained with sprinkling infiltrometers. In addition, sprinkling infiltrometers more closely simulate natural rainfall allowing an estimate of the effect of surface sealing by rainfall impact. A new portable infiltrometer, designed by Bertrand and Parr (1961) is being used currently in most of the North Central States in a co operative attempt to standardize and jointly improve infiltra tion measurement equipment. The "Purdue Sprinkling Infil trometer" , as it is called, can be operated by two men, and is a substantial improvement over previously available infiltrometers. Parr and Bertrand (1960) have published a comprehensive review of infiltration measurement methods. Aggregate Stability and Surface Sealing The structural condition of the immediate soil surface is known to influence infiltration rates. On cultivated soils, surface sealing due to rainfall impact may be the most important factor controlling infiltration since the surface seal at the surface often becomes the least permeable plane in the profile (Duley, 1939; Ellison, 1945). Mclntyre (1958), by microscopic study of thin sections of soil crusts and mea surements of crust permeability, identified a thin compact seal 0.1 mm. thick over a washed-in layer, the permeability 31 -7 -6 of these two layers being 5x10 and 5x10 cm. per sec., respectively. The underlying soil had a permeability of 10 cm. per sec., emphasizing the restricting influence of surfac sealing on water infiltration. The sealing of soil surfaces depends to a great extent on the stability of soil aggregates, i.e. their resistance to slaking and breakdown when subjected to rainfall impact. The subject of aggregate stability is complex, and will not be reviewed here in detail. However, it is of interest in the present study to give attention to the effect of initial mois ture content on aggregate stability during a rain. Yoder (1936) hypothesized that slaking of aggregates re sulted when capillary absorption of water into the aggregate compresses entrapped air until the pressure developed finally disrupts the aggregate. Robinson and Page (1951) found that large aggregates were more subject to slaking than small ones and concluded that pressure build-up is more likely on large aggregates. If compression of air within an aggregate upon wetting does occur, it seems logical that aggregate breakdown by this means would be inversely related to initial moisture content since more air can be entrapped in dry aggregates than in those which are initially wet. However, if the cementing material binding the primary particles is weakened with in creasing moisture content, an opposite effect of moisture 32 content could result. Cernuda et al. (1954) studied the influence of initial soil moisture on the resistance of macro-aggregates to slaking and to water-drop impact. Aggre gates of size 1/4 to 1/2 inch in diameter were wetted under vacuum and then subjected to tension to achieve several initial moisture contents. Upon subjection to slaking in water, followed by water-drop impact, initially dry aggre gates were destroyed more easily than wet aggregates on all soils studied. The authors concluded that the disruptive force of entrapped air was a more important cause of aggre gate breakdown than the weakening of cementing materials upon wetting. However, completely saturated soil aggregates were •more easily destroyed by falling drops than aggregates at moisture contents corresponding to low tensions, apparently reflecting the cohesive action of interfacial water films in the unsaturated aggregates. They also noted that aggregate stability was influenced less by initial moisture content on coarse-textured soils than on fine-textured soils. Evans (1954) found that air-dry soil which had been moistened to the moisture equivalent 24 hours before wet sieving had greater water stability than soil which had been moistened only 5 minutes before analysis. He concluded that increased bonding associated with the longer wetting period resulted from swelling and the resulting elimination of small cracks in the aggregates, allowing continuous water bonds 33 across planes of weakness. In summary, the antecedent moisture content of the soil affects both the dynamics of moisture movement in the soil profile and the stability of soil aggregates at the surface, the former effect being quite well defined by moisture dif fusion theory, while the latter effect is not so well under stood. 34 EXPERIMENTAL PROCEDURES General Approach The effect of antecedent soil moisture on infiltration was studied from two aspects: (a) the moisture effect on infiltration when the soil surface was not subject to any major structural changes during the infiltration period, and (b) the effect of initial moisture content on aggre gate breakdown and surface sealing by rainfall impact. The first aspect represents the major portion of the study while the second is supplementary. The general approach in (a) involves prediction of infiltration rates for different antecedent moisture conditions using laboratory measurements of both capillary conductivity and moisture retention on field cores. The conductivity, K(9), and moisture retention, relations for a given soil are used in the diffusion equation for unsaturated flow, (11), and together with the stated boundary conditions, specify the nature of flow in a given infiltration problem. In this way, infiltration rates for various antecedent moisture conditions were predicted. To evaluate the accuracy of the predicted results, field mea surements of infiltration rate were made at the soil sampling site. In addition, infiltration rates were measured for dif 35 ferent soil surface conditions in order to evaluate the magnitude of the moisture effect relative to the effects of tillage and surface sealing. Laboratory measurements of other physical properties of the soil profile were taken in order to characterize the soils and determine the nature and extent of horizon differentiation. The moisture effect on surface sealing (part (b) above) was studied in the labo ratory using a rainfall simulator. Field Procedure Soils Two loess derived soils were chosen for the study: the Ida silt loam, at the Western Iowa Experimental Farm near Castana, Iowa, and the Grundy silty clay loam, at the Grundy Shelby Experimental Farm near Beaconsfield, Iowa. The Ida soil, a Regosol with a very uniform textural profile, was selected for the study of the antecedent moisture effect on infiltration. Earlier water movement studies by Nielsen et al. (1959) indicated that the Ida was very homogeneous with depth, except for a region at about 75 cm. depth where the clay content was 3 percent higher than in the rest of the profile. A uniform soil profile was desired since moisture flow theory is simpler for a uniform than for a layered soil The Grundy soil, a well developed Brunizem, contains much 36 more organic matter in the surface than the Ida and has a significant clay accumulation in the B horizon. Infiltration measurements on the Grundy provided an evaluation of surface condition effects on a soil which differs strikingly from the Ida in profile development. Thus, the antecedent moisture study outlined above in part (a) was done on the Ida, while surface sealing was studied on both the Ida and Grundy soils. Detailed profile descriptions taken at the sites of the field measurements are given in Appendix A. Antecedent moisture and soil surface conditions To evaluate the effect of antecedent moisture on in filtration in the field, successive infiltration measurements were made on bromegrass sod at three antecedent moisture levels. The terms "dry", "moist", and "wet" refer to the relative moisture content of the 0-30 cm. soil depth for the three antecedent moisture conditions. The existing field moisture at the beginning of the experiment was called the "moist" condition, while the "wet" condition referred to the moisture profile attained two days after the initial infiltra tion measurement, i.e. approximately the field capacity. The "dry" condition was achieved by evapo-transpiration from the grass sod for a ten day period after the "wet" run. The bromegrass sod provided stability to the soil surface, and thereby prevented the structural changes that would have 37 occurred with successive water applications on a tilled sur face. In addition, a three-layer screen was placed about four inches above the plot during the infiltration measure ment to prevent surface sealing due to water-drop impact on the small areas of surface not covered with vegetation. Laboratory trials showed that three layers of window screen, 2 to 3 cm. apart, effectively dissipated the energy of falling water drops. Infiltration rate as influenced by tillage was measured on plots which were tilled to a depth of about 15 cm. and covered with the three-layer screen during spray application. All vegetation was removed from the surface prior to tillage. Tillage by rototiller was chosen to provide a uniform tilled surface layer that could be easily sampled to obtain uniform soil cores for laboratory measurements of moisture retention and conductivity. On the Ida soil the rototiller loosened 3 the soil from an initial bulk density of 1.3 g. per cm. to 3 0.75 g. per cm. . Owing to mechanical failure of the roto tiller, the Grundy soil was spaded to a depth of 15 cm. and hoed to break up large aggregates. On both the Ida and Grundy the soil surface was raked smooth, the final raking being down-slope to minimize surface retention during water application. The slope on both soils was about 6 percent. The rototilling of the Ida soil left the surface 15 cm. in a much more homogeneous condition than did the hand tillage of 38 the Grundy soil. However, the soil tilled with the roto tiller was so unstable that it consolidated during water application and developed large surface cracks shortly after the cessation of "rainfall". This change in surface condi tion eliminated the possibility of predicting infiltration rates on the tilled soil, since laboratory measurements could be made only on relatively stable soil cores. A measure of the effect of surface sealing by rainfall impact was obtained by a comparison of infiltration rates on similarly tilled screen covered and bare plots. Preliminary work on a Clarion loam indicated that although there was some aggregate slaking and surface sealing on the screen covered soil surface, rainfall impact on a bare surface greatly in tensified aggregate breakdown and sealing. At the beginning of the experiment the entire experimen tal area was covered with polyethylene film to maintain similar moisture conditions on all plots during the 10-day pe riod needed to complete infiltration measurements. Thus, the moisture level of the tilled soil was equivalent to the "moist" condition of the grass plots. A randomized complete block design was used with three replications on the Ida and two on the Grundy. Infiltration measurements were obtained on the Ida in June, 1961, and on the Grundy in July, 1961. Although measurements for two antecedent moisture levels had been planned for the Grundy, 39 persistent rainy weather in July prevented more measurements. Infiltration Infiltration rates were measured with the Purdue Sprinkling Infiltrometer which has been described in detail by Bertrand and Parr (1961). The infiltrometer simulates rainfall, utilizing a single center-jet type nozzle held nine feet above the ground by an aluminum tower. The 7 LA nozzle used in the present study delivered simulated rainfall at a rate of approximately 10.5 cm. per hr. (4.2 in. per hr.) with an energy of approximately 600 tons per acre in. at the soil surface. The nozzle produces a full-cone spray pattern and wets an area 13 feet in diameter. The plot frames surround an area 3.81 x 3.81 feet or-1/3000 acre, have sides 6 in. deep, and are driven into the soil about 2 in. Accumulated runoff is measured in a collection tank by an automatic water stage recorder, and the rate of runoff is obtained from the slope of the cumulative runoff curve. The infiltration rate is then computed as the difference between application rate and runoff rate. Infiltration measurements were made for each antecedent condition for a period of 2% to 3 hours on the Ida and 1 to 3 hours on the Grundy to insure adequate measurement of equilibrium rates. In general, the nearly constant rate of runoff was reached after 60 or 70 minutes. 40 Although considerable care was taken to obtain constant rates of application, there were variations in spray intensity of ± 0.25 cm. per hr. during a given measurement period and up to ± 0.6 cm. per hr. on different runs. The within-period variation plus the error involved in taking the slope from the cumulative runoff curve contributed to the variability en countered in plotting the infiltration rate curves. Soil moisture sampling Soil moisture determinations were made gravimetrically on samples taken from the border of each plot immediately prior to each infiltration measurement. A composite of 2 samples was taken from both sides of the plot at 7.5 cm. depth intervals to a depth of 30 cm. and at 15 cm. intervals for the 30-150 cm. depth. "Irrometer" tensiometers were used on the grass plots to provide an approximate measure of the moisture content in the surface 30 cm. of soil before infiltration measurements. Three tensiometers were placed in the border outside the plot frame at depths of about 5, 12 and 27 cm. (the depth given corresponds to the center of the 4 cm. ceramic cup on the tensiometer). 41 Soil sampling For conductivity and bulk density measurements, "undisturbed" soil cores, 7.4 cm. in diameter, were taken with a power sampler (Buchele, 1961) from selected plots on which infiltration measurements had been made. Each 38 cm. long core was encased in a series of 5 aluminum tube liners when taken from the sampler, so that 5 sections of soil core, each 7.6 cm. in length, could be easily cut apart with a knife. Cores taken from the 0-30 cm. depth for capillary con ductivity and moisture retention measurements were left in the aluminum liners, treated with about 10 drops of formalde hyde to inhibit microbial activity, wrapped in a plastic bag, and stored in ice cream cartons at 40 degrees F. until used. Care was taken to identify the depth and vertical orientation of each core. On the Ida soil, duplicate core samples for bulk density measurements were taken to a depth of 38 cm. on 6 plots and to a depth of 76 cm. on 3 plots. On the Grundy, triplicate cores were taken on three plots to a depth of 38 cm., and duplicate cores were taken in a pit to a depth of 150 cm. The gravimetric moisture content of the Ida soil at the time of core sampling was between 15 and 30 percent moisture (depending on the plot and depth) and nearly constant at 42 about 40 percent on the Grundy soil. The variation in mois tures on the Ida should not introduce error into the bulk density data since the Ida soil shrinks and swells very little. Soil samples for organic matter and particle size dis tribution analyses were taken to a depth of 150 cm. on both soils. Four cores were composited on each of two plots to give two samples for each depth. The soil used for the aggregate stability and surface sealing analyses was taken from the surface 10 cm. of freshly tilled plots which had been wetted and allowed to reach "field capacity" prior to sampling. The soil was put through an 8 mm. sieve and stored in a damp cellar where it was al lowed to dry slowly at about 65 degrees F. Laboratory Procedure Capillary conductivity and moisture retention Capillary conductivity and moisture retention were de termined by the outflow technique of Gardner (1956) as modi fied by Kunze and Kirkham (1962). The field cores used for these measurements were all taken from one bromegrass plot on which infiltration measure ments had been made at three antecedent moisture levels. necessity of obtaining duplicate measurements for a given The u 43 depth and the limitation in laboratory space required that conductivity measurements be made on cores from one plot only. Since it was expected that the moisture flow charac teristics of the surface 30 cm. of soil would dominate the infiltration process, the cores for conductivity measurements were taken from this zone. Eight cores, 7.5 cm. long, which had been cut from two 30 cm. cores, were trimmed to a length 3 of 7.0 cm., giving a soil volume of approximately 300 cm. . Individual pressure plate units were used for each core sample. Four commercial units, called volumetric pressure plate extractors and made by the Moisture Equipment Company, were used for one 0-30 cm. set of cores, and four similar units constructed by the A.R.S., U.S.D.A. shop in Beltsville", Maryland, were used for the other set of cores. Although the ceramic plates in both types of units had an air entry value in excess of 2 atmospheres pressure, the water flow impedance on the Moisture Equipment units was much greater than on the Beltsville units. Soil cores were placed on previously soaked ceramic plates and allowed to saturate from below for 4 or 5 days. To inhibit microbial activity about 10 drops of formaldehyde solution (36.9 percent formaldehyde, 12.5 percent methanol) was applied to each core and a few drops added to the buret which received the outflow. Although formaldehyde additions to water could affect the surface tension of the soil water, 44 the effect was considered small.^ Other chemicals such as toulene, mercuric chloride, and nitrophenol have been used by other workers, but all have some disadvantages. The formalde hyde appeared to inhibit effectively fungal growth on the soil and in the water reservoir (buret). Formaldehyde was added to the buret every time the buret water was changed between pressure steps. After saturation, the units were sealed, and 25 cm. water pressure was applied. Outflow was not measured for the first pressure step since plate impedance to flow was known to invalidate the application of diffusion theory to the out flow process at pressures less than 25 cm. water. All pres sures (i.e. suctions, in terms of negative soil-water potential) are expressed as an equivalent height of a water column since this unit was convenient to use in both the conductivity and infiltration calculations. Outflow measurements were made in a constant temperature A 1 percent formaldehyde-plus-methanol solution could be expected to have a surface tension of about 60 dynes per cm., or about 83 percent that of pure water at 25 degrees C. (Hodgman, 1960). If the soil contained 50 percent water at saturation, the total volume of water in the core would be 150 cm.3. Since the 10 drops of formaldehyde solution added is equivalent to about 0.5 cm.3, the concentration of formal dehyde-plus-methanol in the resulting soil solution would be (0.5)(0.494)/150 or about 0.16 percent. After pressure is applied and the soil becomes unsaturated, the formaldehyde volatilizes and reduces the concentration further, so that the effect of the added formaldehyde solution on surface tension should be negligible. 45 room at 78 degrees F. Small commercial heating units at tached to the top of the pressure units produced a temperature gradient which reduced water condensation on the sides of the unit. Air diffusion through the plates was sufficient even at low pressures to necessitate periodic purging of air bub bles from under the plate. A pump developed by Kunze and Kirkham (1962) was used to force water from the buret through the hose and under the ceramic plate, forcing the accumulated bubbles out through the measurement pipette. It was neces sary to enlarge the grooves in the brass base plate beneath the ceramic plate on the Moisture Equipment units to facili tate purging. Pressure increments were chosen to cause between 2 and 10 ml. of outflow when possible. It is necessary to keep out flow volumes small since the diffusivity is moisture depend ent, and the method assumes the constancy of D for small pressure steps. With the Kunze and Kirkham (1962) technique, the most useful portion of the experimental outflow data is obtained during the first few hours of outflow. However, a period of 7 to 10 days usually elapsed before outflow ceased. This "late" outflow is not predicted by theory and generally re sulted in a poor fit of the experimental data to the theory curves at large values of t. The poor fit may be due to a change in diffusivity as the moisture content of the soil 46 changes during outflow. However, this effect does not appear to be serious if the early portion of the data fits well. Owing to the plate impedance effect mentioned previously, conductivity values obtained with the ceramic plates in creased as moisture contents decreased until a pressure of 100 or 150 cm. water was reached, and thereafter the K values decreased as moisture content decreased. This apparent double-valued K(0) relation was not in keeping with theory, so another procedure was sought for the low pressure (high moisture content) range. Millipore filters which have a very uniform pore size and little impedance to water flow were used successfully in conductivity measurements by Kunze and Kirkham. The Moisture Equipment pressure units were modified to use nylon reinforced millipore filters with 3 micron pore diameter in the place of ceramic plates. Perforated stainless steel plates seated in plexiglass rings were constructed to support the millipore filters. Outflow measurements using the millipore filters were accomplished on four soil cores taken from the same plot as the cores used on ceramic plates. Since it seemed advisable to obtain more information on the surface 7.5 cm. of soil than on greater depths, two cores from the 0-7.5 cm. depth were used and one each from the 7.5 to 15 cm. and 15 to 22.5 cm. depths. Outflow was measured for pressures from 0 to 130 47 cm. water. Although some error could be expected at the zero initial pressure, the measurement was made as accurately as possible by applying 3 cm. water pressure to the units while an equivalent back pressure was maintained in the outflow pipettes. Pressure sequences used for both ceramic and millipore membranes are given in Tables 9 and 10, Appendix B. Since infiltration is an absorption phenomenon, measured values of K(0) and i|>(0) for the wetting process should be more appropriate than desorption data for infiltration calculations. Although the outflow (desorption) procedure developed by Gardner was not intended for use with absorption measurements, an attempt was made to apply the same techniques for absorption. A 1 ml. pipette was adapted with two 4 cm. pieces of glass tubing attached perpendicular to the pipette, one near each end. The tubing near the zero mark on the pipette allowed introduction of a bubble into the pipette for precise measurement of water volumes absorbed. The second tube near the outlet end of the pipette provided a bubble trap and allowed atmospheric pressure in the pipette when a bubble was introduced. The water absorbed (volume vs. time) after a small drop in pressure was measured in the pipette first and later in a constant-head buret which served as the water source. Absorption measurements were made with both ceramic plates and millipore filters on the same cores on which 48 desorption determinations had been accomplished. After the pressure had been raised to 500 cm. water on the 8 units having ceramic plates, the pressure was then decreased step wise to 25 cm. water on the 4 Beltsville units for absorption measurements, while desorption was continued on the 4 Moisture Equipment units until a pressure of about 2000 cm. water was reached. It was thought that valid absorption measurements might not be possible at pressures greater than 500 cm. water owing to the discontinuity of water films, hence the above procedure was used to provide low pressure absorption data on one set of pressure units and high pressure desorption data on the other set. The experimental inflow data with ceramic plates fit the theory curves very well suggesting that the desorption theory was appropriate to the absorption phenome non. Absorption measurements with millipore filters were made following desorption, starting at a pressure of 130 cm. water. Although these inflow measurements at low pressures provided a valid measurement of the t|>(0) relation for high moisture contents, in general the data fit outflow theory curves poorly, giving little information on K(9). When the desorption-absorption process was completed, soil cores were dried for 48 hours at 105 degrees C., and moisture contents corresponding to the final pressure were calculated on a volume basis. The total outflow or inflow for each pressure step was then used to calculate the moisture 49 content corresponding to a given pressure. Particle size distribution Particle size distribution was determined by the pipette method (Kilmer and Alexander, 1949) using a mixture of Calgon and sodium carbonate as a dispersing agent. The following size groups were separated: less than .002 mm. (clay), .002 to .020 mm. (fine silt), .020 to .050 mm. (coarse silt), and .050 to 2.00 mm. (sand). Organic carbon Total carbon was determined on both soils by the dry combustion method, while inorganic carbon was determined on the Ida soil only, owing to its high calcium carbonate con tent, by measuring CO^ evolution from the soil after the addition of weak acid. (1957). Both methods are described by Black The organic carbon content on the Grundy was as sumed to equal total carbon, while on the Ida organic carbon was given by the difference between total and inorganic carbon. Aggregate stability Aggregate stability was measured by a wet sieve analysis. Air dry soil was divided into the following aggregate size groups by dry sieving: greater than 2.83 mm., 2.83 to 2.00 50 mm., and 2.00 to 1.00 mm. A 25 g. sample of aggregates from each size group was wetted for about 3 minutes under vacuum (60 cm. mercury) and then wet sieved for 5 minutes in a mechanical sieving apparatus which moves a nest of sieves under water in a 2.5 cm. vertical stroke at the rate of 30 oscillations per minute. The relative stability of different sized aggregates was measured by determining the size frac tions into which each dry-aggregate group broke down upon • wet sieving. Surface sealing When cultivated soils are subjected to rainfall impact two phenomena are mainly responsible for the decrease in infiltration rate with time: (a) the rapid decrease in potential gradient near the surface and (b) the decreased conductivity of the immediate soil surface due to aggregate breakdown and surface sealing. Although a measure of surface sealing was obtained with field infiltration measurements, an experiment with controlled conditions was needed to evaluate the effect of initial moisture content on the breakdown of aggregates and subsequent sealing of the surface due to rain fall impact. The laboratory rainfall simulator used in this experiment (Mutchler and Moldenhauer, 1962) was especially well adapted to a study of surface sealing since the usual decrease in potential gradient with time was prevented by 51 maintaining a constant suction at the lower boundary of a shallow aggregate layer. Thus, after the initial wetting of the aggregates by "rainfall", the measured decrease in intake rate with time could be attributed to a decrease in the con ductivity of the surface as sealing occurred. The rate at which the intake rate decreased with time and the erosion rate with time were.used as indices of aggregate breakdown and surface sealing for the two soils at three antecedent moisture levels. The rainfall simulator consisted of a rotating water reservoir in which a constant water head was maintained over a system of capillary tube droppers. The moving droppers produce "rainfall" at a rate of approximately 9.0 cm. per hr. with a well distributed pattern at the soil surface. A soil pan, 11.5 in. wide, 17.5 in. long and 5 in. deep holds the soil and provides a means of measuring runoff and erosion rates by volume collections at 5 minute intervals. The soil pan contains a layer of micro-glass beads which when saturated and then subjected to a suction at the bottom of the pan will maintain a suction up to about 250 cm. water before air entry occurs. Soil samples which had been taken from the field (see section on soil sampling) and allowed to dry in a moist cellar were sieved with a 2 mm. sieve to obtain aggregates greater than 2 mm. in diameter. The moisture content of the aggre 52 gates at the time of sieving was used for the intermediate initial moisture level in the simulator study. Drier aggre gates were obtained by further air drying in the laboratory. A wet initial condition was achieved by wetting the aggregates in the soil pan under vacuum for about one hour and then ap plying a suction of 200 cm. water to the bottom of the soil for about 4 hours. A preliminary trial with tensiometers showed that after application of suction to the bottom of a saturated 7.5 cm. layer of beads, a suction of 200 cm. water was reached near the surface of the beads in about 3 minutes. A shallow layer of aggregates, 15 to 18 mm. deep, was placed over the beads with care being taken to prevent segre gation of large and small fractions. The surface was leveled and the aggregates tamped lightly to produce a relatively stable layer. A dry, double layer of gauze between the soil and beads prevented rapid movement of water from the wetted beads (at 200 cm. water suction) into initially dry soil. Duplicate measurements were made on each soil and mois ture condition combination. On two runs with the Grundy aggregates one duplicate (Pan B in both cases) was lost owing to an air leak in the beads. Although data for only one pan were obtained on these two runs, the precision of other duplicate measurements indicated that the data from a single pan should provide a reliable estimate of infiltration and erosion for the conditions being studied. 53 Calculation of Infiltration from Conductivity Data When a partial differential equation is used to express a physical process with a given set of initial and boundary conditions, numerical methods are generally used to obtain a solution. The most commonly used method is called the "method of finite differences" (Sokolnikoff and Redheffer, 1958). The differential equation is replaced by an approximating dif ference equation, and a set of discrete points defines the continuous region in which the solution is desired. The problem is thus reduced to the solution of a system of alge braic equations in many unknowns. Iterative techniques have been devised to solve such systems, and high speed computers can be used to handle the laborious calculations. In the present study the equation to be solved is Equa tion (11) subject to the initial and boundary conditions, t = 0, x > 0, 9 = f(x) x = 0 , t > 0, e=© 0 , where 0 = f(x) represents the measured antecedent moisture profile. It is assumed that the value of K at the boundary between the two soil horizons is the mean K for the two hori zons and that i|> is continuous across the boundary. The method of finite differences was applied to the moisture diffusion 54 equation by Hanks and Bowers (1962a) who developed a computer program to accomplish the necessary calculations. Some of the pertinent steps are shown in the following discussion. The finite difference approximation of 39 at = j_rKif axLKax- which is Equation (7) in the literature review, is as follows: Vi'9lvi-l At = K ^i-l,i + ^i-1,j-1 * 2G " ^i,j " ^i,,i-l) (18) K (^ivi + ^1,1-1 + 26 " ^i+l,i " ^i-hlvi-l) 2(AX)2 . where i|) is the suction, K is the conductivity, G is the gravitational term, At is the time increment, and the sub scripts "i" and "j" refer to distance and time, respectively. G = ax for vertical infiltration. By knowing the boundary conditions and values of K, an equation can be written for each depth increment, involving the unknowns 9^ j and (i = 1, 2, 3, ... n-1). j The initial conditions at the be ginning of each new time increment supply values of 55 and i|)j_ j_]_ for all depth increments. A series of "n" equa tions having more than "n" unknowns is then formed but addi tional information is needed to obtain a solution. If the i|>(©) relation is known and can be assumed to be unique, then the left-hand-side of Equation (18) is approximated by • • ^ — Ay • • -±*=±C. , , Ui jJ4 At ? where C. • i/ = (4r) i,J-4 d* (19) and is taken from the measured o|>(0) curve for an estimated value of 0. Substitution of (19) in (18) yields the series of "n" equations with 11 n" unknowns for which solutions can be obtained. Twenty depth increments of constant length, ax - 2cm. were used for all cases studied. The calculated wetting front did not exceed 30 cm. deep in any of the problems calculated. The time increment, At? was varied automatically in the com puter program to allow for a constant amount of water entry at the surface for each time increment. The conductivity, K, was estimated as follows: îî:î;]:î where (20) 56 Da6 Although in the present study, K values had been obtained from outflow measurements by the equation, K = D[Q/VAp] where Q is the total outflow from a soil core of volume V for a pressure step of AP> experimental values of D were used in the computer program, and K was calculated by the computer using Equations (20) and (21). The value of j f r o m Equation (21) is an "average" value which Hanks and Bowers (1962a) found to give better results than where a similar expression in K was used. The solution of a given problem involved the stepwise solution of twenty algebraic equations, starting with the equation corresponding to the first distance increment and progressing to the last increment, each equation being evaluated for the first time increment, j = 0 to j = 1. The process was then repeated for each time increment to provide infiltration data corresponding to a cumulative time of 70 minutes. Each problem required about one hour for computation on the IBM 1620 computer. The values of suction, moisture content, cumulative in filtration, infiltration rate, length of time increments, 57 and cumulative time were printed out for each depth increment at frequent time intervals. The cumulative infiltration, CI, and infiltration rate, I, were computed as follows: n n ( C I ) . - 2 9 -1 - A * - S 9 1 . Ax J i=i 'J "l—i '0 i=l T - " (^0,1 + *0vi-l + 2G " (22) " 4j,i-l)K%,i (23) 2AX Note that the expression for CI gives the accumulated mois ture in the profile at a given time as did the expression xd9 in Philip's (1957b) analysis. It is interesting to Sn note that the expression for infiltration rate, Ij, in (23) reduces to I. = K(9 ,) when the first increment of soil is j sax saturated. Since the intake rate corresponding to K ^ should be the minimum rate reached if there are no restricting zones in the profile, unsaturation at depths greater than 1 cm. would necessarily exist as long as the condition I > K ^ persisted. On the basis of laboratory results the "soil profile" used in computations was considered to consist of 2 horizons, the 0-15 cm. surface soil and the 15-40 cm. subsoil, the 2 58 horizons having a distinct boundary. The D and ij> data used for the surface 15 cm. were obtained on field cores from the same depth, while data for the 15-40 cm. depth were measured on 15-22.5 cm. field cores. Infiltration computations were made for 7 different problems with the following conditions: (a) Dry antecedent moisture , 2 horizons, desorption data (b) Moist antecedent moisture, 2 horizons, desorption data (c) Wet antecedent moisture, 2 horizons, desorption data (d) Dry antecedent moisture, 2 horizons, absorption data (e) Moist antecedent moisture, 2 horizons absorption data (f) Uniformly wet (35 percent), 2 horizons, desorption data (g) Wet antecedent moisture, 1 horizon (using 0-15 cm. data for the entire 0-40 cm. depth), desorption data The 7 conditions were to provide the following information: 1. The dry, moist, and wet conditions in (a), (b), (c) (d), and (e) correspond to the field moisture condi tions for which infiltration rates were measured. These computed rates are compared with field rates to evaluate the predictive value of the laboratory and computational procedures. 59 2. A comparison of (a) and (d) with the field measure ment for the dry condition, and a comparison of (b) and (e) with the field measurement for the moist condition provide an evaluation of the merits of desorption and absorption data obtained in the laboratory for use in theory calculations. 3. A comparison of (f) and (c) is used to estimate the effect of the higher moisture content in (f) at depths below 4 cm. on the infiltration rate and cumulative infiltration. 4. Condition (g) gives a measure of the error in predic tion introduced by considering the entire profile to have the K and i|) properties of the 0-15 cm. depth. 60 RESULTS AND DISCUSSION Physical Properties of Soil Profiles The Ida and Grundy soils, although both loess derived, differ strikingly in profile development as is shown by the bulk density, organic carbon and particle size distribution data in Tables 1 and 2. The Ida silt loam, classified as a Regosol, was known to have a relatively uniform texture with depth, and was chosen for the present study for this reason. Data in Table 1 show that organic carbon and clay contents are highest in the sur face 22.5 cm. of soil and drop to relatively constant values for greater depths. The bulk density of the surface 7.5 cm. is only slightly greater than at greater depths in the profile. The Grundy silty clay loam (Table 2) has a distinct Bhorizon with higher clay content and lower organic carbon content than in the A-horizon. In contrast to the Ida soil, the bulk density of the Grundy is lowest in the surface soil and increases gradually with depth to about 1.55 g./cm. 75 cm. 3. at 61 Table 1. Bulk density, organic carbon content, and particle size distribution of Ida silt loam with depth Soil depth Bulk density cm. g./cm.^ 0 - 7.5 7.5- 15 Organic carbon Particle size distribution Clay F. silt C. silt Sand % % % % % 1.24 1.69 21.6 27.8 46.5 4.1 1.21 1.63 26.6 47.2 5.0 1.21 21.2 21.9 15.6 27.4 45.4 5.3 46.0 5.5 46.1 5.7 22.5- 3 0 1.19 1.46 0.75 30 - 45 1.17 0.33 14.6 32.9 33.6 45 - 60 1.19 0.22 14.6 29.4 50.7 5.3 60 - 75 1.21 - 12.9 32.6 50.3 4.2 75 - 90 - - 15.4 90 -105 - - 17.6 30.8 30.6 49.0 48.1 4.8 3.7 105 -120 - - 16.3 31.0 43.1 9.6 120 -135 - - 13.8 30.8 47.5 7.9 135 -150 - - 14.3 29.2 46.8 9.7 15 - 22.5 Aggregate Stability and Surface Sealing Aggregate stability Although two soils may have a similar size distribution of aggregates after tillage, aggregates of the same size on different soils or of different sizes on a given soil may exhibit varying degrees of water stability. Data in Table 3 show that the Ida and Grundy soils had a similar proportion 62 Table 2. Bulk density, organic carbon content and particle size distribution of Grundy silty clay loam with depth Soil depth Bulk density cm g./cm.^ % % % % % 1.28 2.39 30.5 28.9 37.1 3.5 1.34 2.38 29.4 33.5 36.2 5.4 1.32 29.0 30.6 32.7 34.3 32.5 30.1 3.2 3.1 34.9 32.7 24.2 19.3 2.7 3.5 0 • - 7.5 7.5- 15 Particle size distribution Clay F. silt C. silt Sand 2 2 . 5- 3 0 1.34 2.02 1.73 30 - 45 1.36 1.29 45 - 60 1.39 0.98 38.2 44.5 60 - 75 1.49 0.50 39.9 38.9 18.2 3.0 75 - 90 1.54 38.0 39.8 19.8 2.4 90 105 -105 1.58 35.6 40.0 21.9 2.5 -120 1.55 34.8 40.3 2.6 120 -135 1.55 0.18 31.6 2.7 135 -150 1.54 0.10 32.5 40.2 44.0 22.3 25.5 21.9 1.6 15 - 22.5 Organic carbon - 0.37 - of aggregates in the >2.8 mm. size group prior to wet sieving. However, the proportion of these large aggregates which re sisted breakdown when subjected to wet sieving was 59.3 per cent for the Ida and 75.0 percent for the Grundy. Also, of the 25 percent of the Grundy aggregates which passed through the 2.8 mm. sieve with wet sieving, less than half broke down to the <1.0 mm. size. A much larger proportion of the Ida aggregates was dispersed, indicating the lower water stability Table 3. Size distribution and relative water stability of Ida silt loam and Grundy silty clay loam aggregates Time of measurement Before wet sieving Soil \3 Percent aggregates in each size group (diameter in mm.) >2.8 2.8-2.0 2.0-1.0 Ida 31.4 12.0 19.8 Grundy 32.6 19.8 29.3 >2.8 After wet sieving aThe 2.8 - 2 . 0 2.0-1.0 2.8-2.0 2.0-1.0 2.0-1.0 Ida 59.3 8.6 4.0 29.4 27.4 31.2 Grundy 75.0 8.7 5.1 66.1 18.6 66.5 dry soil was first sieved to obtain the percentage aggregates in each size group; then each of the dry aggregate size groups was wet sieved separately, giving the data in the lower half of the table. The percent in the <1.0 mm. size group is not shown in the table, but may be obtained by difference. 64 of the Ida soil. The greater stability of the Grundy aggre gates is also evident in the "after wet sieving" data for the 2.8-2.0 mm. and 2.0-1.0 mm. size groups. The wet sieving data suggest that the >2.8 mm. aggregates are more stable than the two smaller aggregate sizes on both soils. However, the >2.8 mm. group included aggregates of sizes up to 8 mm., a much larger size range than in either of the smaller size groups. Hence aggregates >2.8 mm. resulting from the breakdown of a large aggregate could still remain on the >2.8 sieve. It is apparent that aggregates in the 2.8-2.0 mm. and 2.0-1.0 mm. size groups have about the same water stability on a given soil. Although Grundy aggregates were shown to be more water stable than Ida aggregates in the wet sieving analysis, such a measure of stability does not necessarily imply a resistance to aggregate breakdown and surface sealing under rainfall impact. Surface sealing A measure of the effect of initial moisture content on aggregate breakdown and surface sealing using the laboratory rainfall simulator is given by the infiltration and erosion rate curves in Figures 2 and 3. Curves in the upper half of Figure 2 show that dry Ida aggregates maintained a higher in filtration rate for times up to 50 minutes than did either 65 the moist or wet aggregates. The Grundy aggregates, on the other hand, appeared to be most stable in the wet condition, i.e. after being initially wetted and then held at a low suction prior to water application (lower half of Figure 2). The difference between the "dry" and "moist" curves for the Grundy is slight if the curves are translated along the horizontal axis until they coincide. The shape of the infil tration curve is considered a more important index of surface sealing than is the time that runoff began (i.e. when infil tration was first measured), since the latter reflects both the time needed to wet the aggregates and the rate of sealing. The equilibrium infiltration rates, shown by the data points on the 50 minute ordinate, were about 5.0 cm. per hr. for the Ida and 4.0 cm. per hr. for the Grundy. Since clay particles might be expected to form a more dense seal than silt parti cles, it is not surprising that the seal formed on the Grundy was less permeable than on the Ida. The higher erosion of the Grundy soil at all three moisture conditions as compared to similar conditions on the Ida reflects the lower infiltration rates of the Grundy (Figures 2 and 3). An effect of initial moisture content on erosion rate is evident on the Grundy but not on the Ida. Erosion rates remained high throughout the time of measure ment on both soils even though a surface seal of fairly con stant permeability had been formed. Apparently the surface Figure 2. Effect of initial volumetric moisture content of Ida and Grundy soil aggregates on surface sealing as indicated by rate of water infil tration (determined in the laboratory using a rainfall simulator) 67 10 -= = = = V 8 ® IDA : 6 :o~ tr. =0: 4 - • DRY (2%) o 2 - A WET (19%) UJ 5 q: o MOIST (9%) 0 30 20 10 40 50 10 -f (D GRUNDY o f= 8 < cr A •" h 6 -A. ^ 4 •o. • DRY (4%) -A. ~A"<5" o MOIST (14%) 2 a WET (25%) 0 0 10 20 30 TIME (MINUTES) 40 50 Figure 3. Effect of initial volumetric moisture content of Ida and Grundy soil aggregates on surface sealing as indicated by soil erosion rate (determined in the laboratory using a rainfall simulator) 69 5 4 - • DRY (2%) ® IDA o MOIST (9%) A WET (19%) 5 3 o O X LU 2 - ÛT O < êf X t CO 0 o 1 20 5 - o 4 - QL 1 40 • DRY (4%) 1 r 60 80 (D GRUNDY o MOIST (14%) if) txJ ,o> A WET (25%) ' .-•-•x /\ v 3 - _J O CO 2 - 0 i 40 1 60 TIME (MINUTES) 1 r 80 70 seal was not a stable layer but was constantly eroding away and being reformed by the continual breakdown of aggregates. Below the 1 to 3 mm. dense layer formed by "rainfall" impact the soil aggregates maintained their original structure. Thus, surface sealing continues to be a dynamic process even after an equilibrium infiltration rate is reached. The opposite effect of initial moisture on the sealing of the Ida and Grundy aggregates might be explained by a dif ference in the materials forming the bonds between particles. The Ida aggregates, having a low clay content but a high calcium carbonate content, may be stabilized with drying by the cementing effect of calcium carbonate. Such cementing would not occur on moist or wet aggregates. The Grundy aggregates, on the other hand, contained no calcium carbonate, but were relatively high in clay--.content. Thus, for the Grundy, the lower stability of the dry aggregates may be as sociated with air entrappment upon wetting, the drier aggre gates being readily broken down by this means. Although Cernuda et al. (1954) concluded that aggregates were most subject to slaking in water when initially dry, none of the soils which they studied contained large amounts of calcium carbonate. These comments on the mechanisms of bonding and breakdown of aggregates are obviously speculative, and neces sarily so, since little is known about the nature of soil aggregate bonds. 71 A measure of surface sealing was also obtained in the field infiltration measurements. These data will be dis cussed later when field results are presented. Moisture Retention, Diffusivity, and Capillary Conductivity Moisture retention The suetion-moisture content relationships for the sur face 30 cm. of the Ida soil are shown in Figure 4. Hysteresis in the desorption-absorption cycle is evident at all four depths, though more pronounced in the surface 0-15 cm. The position of the curves in the four graphs with re spect to the ordinate scale shows that the moisture content at a given suction was higher in the surface 15 cm. of the profile than at greater depths. The uniformity of the 0-15 cm. depth with respect to moisture retention is apparent in Figures la and lb. The uniform clay and organic carbon contents with depth, below 22.5 cm. (Table 1), indicate that moisture retention and capillary conductivity data for the 22.5-30 cm. cores should provide a good estimate of retention and conductivity at greater depths. The x|j(9) curves in Figure 5 are "average" curves from which data were taken for the computer calculations of Figure 4, Moisture content versus suction, t|)(9), for desorption and absorption on field cores of Ida silt loam at four depths 73 . DESORPTION o ABSORPTION 0-7.5 CM. DEPTH 7.5-15 CM. DEPTH - 50 o > > 40 CD UJ U 30 - OC UJ Q_ UJ H Z O 20 200 400 50 - 0 200 400 © o © \ UJ cr 40 - 3 hen 30 15-22.5 CM. DEPTH 20 0 200 400 22.5-30 0 200 400 SUCTION (CM. WATER) Figure 5. "Average" ^(0) curves used in theory calculations of infil tration; laboratory data from the 15-22.5 cm. depth were used for the >15 cm. depth in computations 1 o > 50 I I I I I I DESORPTION > m ABSORPTION 40 h- z DESORPTION UJ o 30 ABSORPTION -4 Ui o UJ a: 3 Ic — 0 - 1 5 CM. DEPTH 20 o > 15 CM. DEPTH 10 T 0 1 1|I I I | I 10 1 1 1—| I I I| I 1 100 SUCTION (CM. WATER) 1 1—| I I I | I 1000 76 infiltration. These curves represent moisture retention data obtained on both the ceramic plates and millipore filters. Individual values are given in Tables 9 to 14, Appendix B. The 0-15 cm. depth curves in Figure 5 were obtained from the combined data for the 0-7.5 cm. and 7.5-15 cm. depths, while data from the 15-22.5 cm. depth were used to represent the remainder of the profile. Diffusivity and capillary conductivity The relationship of water diffusivity and moisture con tent for the Ida soil is shown in Figure 6, and the corre sponding capillary conductivity curves in Figure 7. curves were fitted visually to the data points. The Although unique curves could be established for the 15-22.5 and 22.5-30 cm. depths, the 0-7.5 and 7.5-15 cm. depth data appear to fit approximately the same curve. There is a tendency for the 0-7.5 cm. data to fall to the right of the 7.5-15 cm. points at moisture contents of 35 to 50 percent, especially in Figure 7. The conductivity data are less divergent than the diffusivity data for the 0-15 cm. depth. Three items concerning the data in Figures 6 and 7 are noteworthy: (a) The shape of the curves is consistent with published data. At lower moisture contents the curves are very nearly exponential (linear on semi-log plot), but tend toward an inverted S-shape at high moisture 77 contents. Gardner and Mayhugh (1958) found that an assumed exponential relation between diffusivity and moisture content gave good results on the soils they studied. In another paper Gardner (1959) shows a plot of D vs. 9 on a semi-log scale, and although he had drawn a straight line through the data points, the curves appear to be of a similar shape as those obtained in Figure 6. A calculated D vs. 0 curve shown by Philip (1955) is also "of this shape. (b) Desorption and absorption data fall roughly on the same curves, especially for the two greater depths. This suggests a unique K(0) relation even though hysteresis exists in the i|>(0) curves of Figure 4. However, for the surface 0-15 cm., the absorption data in both Figures 6 and 7 tend to lie slightly to the left of desorption points. It should be noted that since D = K(3i|)/30), if the K(9) relation is unique, then the D(0) relation cannot be unique, owing to hysteresis in ij>(0). The divergence of D(0) from uniqueness is then dependent on the magnitude of the difference in the x|)(©) curves for desorption and absorption. The wide spread of D values for the 0-15 cm. depth in Figure 6 as com pared to the corresponding K values in Figure 7 supports the above reasoning. Also, the relatively good fit of the D(0) curves for the two greater depths to both desorption and absorption data should be expected since hysteresis in a|>(0) is less for those depths. Data obtained by Nielsen and Biggar (1961; indicate a unique K(0) relation in disturbed samples after initial soil consolidation. Also, Gardner (1959) obtained D values for absorp tion which were 2 to 3 times as great as those for desorption at a given moisture content, i.e. the D curves for absorption fell to the left of those for desorption. Hence, the data in Figures 6 and 7 appear to be consistent with published results. (c) The D and K values obtained with millipore filters correspond well with values obtained with ceramic plates. The degree of correspondence is surprising considering that different field cores were used to obtain the two sets of data. D values taken from the 0-15 cm. and 15-22.5 cm. curves in Figure 6 were used in the computer calculations of Figure 6. Water diffusivity versus moisture content, D(9), for desorption and absorption on field cores of Ida silt loam at four depths; data points corresponding to the symbols in parentheses in the legend were obtained with millipore filters, while all others were measured on ceramic plates 79 10 4 _ DEPTH © (O) ® ®) © (•) 10 3 a: x 102 S o t 10' to 3 Li. U. O ÛC 22.5 - 30- UJ h- I 10° — CM. DEPTH 0-15 CM. 10"1 DEPTH — 15-22.5 CM. DEPTH 10-2 0 10 20 30 40 50 MOISTURE CONTENT, (% BY VOL.) 60 Figure 7. Capillary conductivity versus moisture content, K(Q), for desorption and absorption on field cores of Ida silt loam at four depths; data points corresponding to the symbols in paren thesis in the legend were obtained with millipore filters, while all others were measured on ceramic plates 81 0 _ DEPTH DES. ® (O) ABS. 3 (®) HT' — >-2_ 22.5 -30- ,-4 CM. DEPTH 15-22.5 — 0-15 CM. DEPTH CM. DEPTH ,-7, 0 10 20 30 40 50 MOISTURE CONTENT, (% BY VOL.) 60 82 infiltration and are given in Table 15, Appendix B. Field Infiltration Antecedent moisture effect The antecedent moisture profiles and corresponding in filtration curves for the grass sod on the Ida soil are shown in Figures 8 and 9 (Replications I and II, respectively).^ The moisture content versus depth curves show the mois ture distribution in the profile for each of the designations, "dry", "moist", and "wet". These terms refer to the relative moisture content of the surface soil at the beginning of the infiltration measurement. The infiltration rate curves in Replicate I (Figure 8) are distinctly different for each antecedent moisture, with the infiltration rate at a given time being inversely related to antecedent moisture content. On the second replicate (Figure 9) the infiltration rate for the "dry" condition was highest, while the rates for the "moist" and "wet" conditions were nearly equivalent. These apparent equivalent infiltra tion rates on Replicate II may be the result of having "'"Data for the third replicate are not graphed since one infiltration run was lost, but cumulative infiltration and equilibrium infiltration rates for all replicates are shown later in Table 4. Figure 8. Field measured infiltration rates of Ida silt loam (grass cover) at three antecedent moisture levels, Replicate I; data points on the 70 minute ordinate represent the average rate after 70 minutes MOISTURE % (BY VOL.) 10 20 30 40 IDA I - l 30 S 10.0 - o *0 o DRY • MOIST a WET 8.0 UJ 90 CL UJ 120 O < 6.0 w -1 • -/ a V 150 I V tK Z 2 4.0 I< OC H- 2.0 0.0 0 10 30 40 % TIME (MINUTES) 50 60 70 Figure 9. Field infiltration rates of Ida silt loam (grass cover) at three antecedent moisture levels, Replicate II; data points on the 70 minute ordinate represent the average rate after 70 minutes MOISTURE % (BY VOL.) 10 20 30 40 IDA H-l x 10.0 H — 8.0 6/ DRY MOIST WET H UJ Â uj 120 S 6.0 H p 4.0 S —l u_ 2.0 - o.o -4 10 20 30 40 TIME (MINUTES) 50 60 7( 88 somewhat similar moisture profiles for the "moist" and "wet" conditions. A comparison of moisture profiles in Figures 8 and 9 shows that the "wet" profile in Figure 8 has a much higher moisture content at depths greater than 60 cm. than does the "wet" profile for Replicate II in Figure 9, possibly explaining the difference in results on the two replicates. The higher moisture content at greater depths in Replicate I resulted from an earlier "wet" run in which a leak developed around the plot frame, necessitating another "wet" run. Despite the inconsistency in results on the two replicates, the influence of antecedent moisture on infiltration rates is evident. •In Figures 10 and 11 infiltration curves for the tilled surface soil, both screen covered and bare, provide a measure of the magnitude of tillage and s.urface sealing effects for comparison with antecedent moisture effects. The "moist" curves in Figures 8 and 9 are shown again in Figures 10 and 11 as the "grass" curves. A consistent effect of tillage is to prolong the time before runoff occurs (Figures 10 and 11). In both replicates the "screen" curve is above the "grass" and "bare" curves for the entire 70 minute period, showing the capacity of the tilled soil to receive water when the surface remains permeable. In addition, the location of the "bare" curve relative to the "screen" curve is nearly the same on both Figure 10. Field infiltration rates of Ida silt loam as influenced by tillage (screen versus grass) and surface sealing (bare versus screen), Replicate I; data points on the 70 minute ordinate represent the average rate after 70 minutes IDA I a SCREEN ° BARE • GRASS < 6.0 vo O 0.0 J 20 30 40 TIME (MINUTES) 50 Figure 11. Field infiltration rates of Ida silt loam tillage (screen versus grass) and surface versus screen), Replicate II; data points ordinate represent the average rate after as influenced by sealing (bare on the 70 minute 70 minutes IDA H a SCREEN tr 10.0 X \ 5 o 8.0 - o BARE • GRASS LU \— < 6.0 o: z o h- 4.0.< cc 1_l 2.0 - I O z 0.0 C 10 20 30 40 TIME (MINUTES) 50 60 7( 93 replicates, the water intake rate of the tilled soil being greatly reduced by rainfall impact on the bare surface. The effects of tillage and surface sealing on infiltra tion rates are clearly evident in Figures 10 and 11. A com parison of Figure 8 and Figure 10 indicate that the magnitude of the antecedent moisture effect on infiltration may be as great or greater than the effects of tillage or surface sealing. This is an important result in view of past and present efforts to characterize soils and soil management practices with regard to infiltration rate. Although the moisture effect was less and the tillage effect greater in Replicate II than in Replicate I, the moisture effect is of sufficient magnitude to necessitate evaluation before effects of management practices can be accurately estimated. Infiltration rates for one replicate of the Grundy soil are given in Figure 12. Data for the other replicate were nearly the same as in Figure 12, except that the infiltration rate for the 11 bare" condition decreased to the equilibrium value more rapidly. The antecedent moisture level for all three surface conditions was near the "field capacity" or roughly equivalent to the "wet" condition on the Ida soil. The similarity of the infiltration rate curves with "grass" cover for the Ida (Figure 11) and Grundy (Figure 12) suggests that morphological differences between soils may not influence infiltration rates for small times as much as Figure 12. Field infiltration rate of Grundy silty clay loam as in fluenced by tillage (screen versus grass) and surface sealing (bare versus screen), Replicate I; data points on the 70 minute ordinate represent the average rate after 70 minutes GRUNDY X ûf 10.0 o 8.0 LU 6.0 O 4.0 a SCREEN h- 2.0 LL o BARE • GRASS 10 20 TIME (MINUTES) 96 antecedent moisture and surface conditions on a given soil. The screen covered surface on the Grundy (Figure 12) maintained a very high infiltration rate throughout the mea surement period. It was discovered after the run that water was infiltrating through the permeable surface and then moving laterally through the tilled soil and out around the steel retaining plate at the front of the plot. This problem could exist on any soil in which the surface few inches are much more permeable than the underlying soil. Despite the error, these data do indicate the high permeability of the tilled surface which has been protected from rainfall impact. The "bare" surface of the Grundy, although gradually sealed by rainfall impact, maintained a higher infiltration rate than did the grass sod for the 70 minute period shown. Similar results were obtained on one replicate of Ida (Figure 11), but not on the other two replicates, in which the infil tration rate curve for the bare surface dropped rapidly below the curve for the grass sod (e.g. Figure 10). The variability of the results on the Ida soil emphasizes the difficulties encountered in characterizing soils with respect to infiltra tion. Although one is generally interested in knowing the shape of the infiltration rate curve for a given soil and condition, equilibrium infiltration rates and cumulative in filtration values are also informative. These data are given 97 for the Ida soil in Table 4 and for the Grundy soil in Table 5. Mean equilibrium rates for the three antecedent moisture levels in Table 4 (significant at the 0.25 level) indicate that equilibrium rates achieved after 2.5 to 3 hours of mea surement were inversely related to the antecedent moisture level. Similar results were found by Free et al. (1940). In previous studies using simulated rainfall on a cultivated Marshall silt loam it was found that equilibrium rates on dry and subsequent wet runs were consistently equal (Green et al., 1961). Apparently, the equality of rates on the Marshall re sulted from surface sealing, the permeability of the seal having reached a relative constant value by the end of the dry run. Thus, on the Marshall the wet run gave, essentially, a measure of the permeability of the surface seal formed during the dry run and did not reflect moisture potential differences. In the present study, the grass surface was stable and differences in infiltration rate for the three antecedent moisture levels can be assumed to be the result of differences in potential gradients within the soil. This effect will be discussed in more detail when calculated mois ture profile data are presented. The 60 minute cumulative infiltration values for the three moisture levels (Table 4) are consistently higher for low moisture contents, as would be expected. The differences 98 Table 4. Infiltration indices for Ida silt loam as influ enced by various antecedent conditions Antecedent condition Grass sod Dry Moist We+ Tilled, covered Tilled, bare aValues Rep. Equilibrium infiltration rate cm./hr. Cumulative infiltration in 60 min. cm. I II III 3.6 2.8 4.1 5.9 4.7 5.5 Mean 3.5 5.4 I II IIIa 2.8 2.0 (3.6) 5.0 3.9 (4.8) Mean 2.4 4.4 I II III 1.5 2.0 3.3 3.8 3.5 4.2 Mean 2.3 3.8 I II III 2.5 3.6 1.9 6.2 7.4 5.5 Mean 2.7 6.4 I II III 1.3 1.0 1.0 Mean 1.1 3.4 4.8 4.2 4.1 in parentheses for Replicate III are calculated "missing plot" values' used in statistical analysis. No mea sured values were obtained owing to a clogged nozzle during the measurement period. 99 Table 5. Infiltration indices for Grundy silty clay loam as influenced by three surface conditions Surface condition Rep. Equilibrium infiltration rate cm./hr. cm. o Tilled, bare 00 Tilled, covered3 I II 1— • l NC Grass sod Cumulative infiltration in 60 min. 4.5 5.4 Mean 1.9 4.9 I II 8.1 6.1 8.5 10.1 Mean 7.1 9.3 I II 1.0 0.5 6.4 5.1 Mean 0.8 5.8 As described in the text, these values do not represent true infiltration rates owing to excessive lateral movement of water around the plot frame. are significant at the 0.05 level. Cumulative infiltration has been used widely (see literature review) to relate infil tration to antecedent moisture by regression techniques. A comparison of cumulative infiltration means for the "moist" grass surface, the screen covered, and the bare sur face conditions shows that tillage increased the total water intake in a 60 minute period 2.0 cm. above that for the grass surface, but when the tilled surface was exposed to rainfall 100 impact no increased intake was realized. Also, the sealing effect is seen to reduce the equilibrium infiltration rate to about half that on the untilled or protected surfaces. ferences are significant at the 0.25 level. Dif Similar conclu sions apply to the Grundy soil for which data are given in Table 5. The tillage effect on infiltration is the result of an increase in total porosity with a concomitant decrease in volumetric moisture content. Tillage increased the pore space from 51 to 72 percent on the Ida soil, and from 52 to 65 per cent on the Grundy. Calculated Infiltration Comparison of calculated and measured infiltration Infiltration rates calculated from both desorption and absorption data are compared with field measured rates in Figure 13. The calculated rates fit the measured rates best for the "wet" condition and poorest for the "dry" condition. Desorption data resulted in the best estimates for all times on the "dry" soil and for times less than 20 minutes on the "moist" soil, while for times greater than 20 minutes in the latter case, the absorption data gave the best prediction. The reason for the low infiltration rates obtained with absorption data is not apparent, but is probably the result of using an approximate curve to obtain 0 values for the 101 0-15 cm. depth (Figure 6). As mentioned previously, the absorption points in Figure 6 appear to lie to the left of the desorption points, so that D values for a given moisture con tent may be 2 to 3 times greater for absorption than for desorption. In the computer program K is given by Equation (20), i.e. K = D(A0/z# ), so that if the value of D used for absorption were too small, then K would also be too small. K values in Figure 7 for the 0-15 cm. depth and calculated from absorption data indicate that an error was introduced when the same 0(B) relation was used for both desorption and absorption calculations. Since the infiltration rate is greatly influenced by the capillary conductivity (Equation (23)), the use of low K values could be expected to reduce calculated intake rates. The erratic infiltration rates for the dry condition (desorption data) in Figure 13 are probably the result of the extreme moisture potential differences and conductivity dif ferences between the wet and dry soil at the wetting front. The value of j in (23) is dependent on the average mois ture content in the first depth increment, which for small times is quite low on the initially dry soil. Hence . will also have a low value for small times, thereby causing the initially low infiltration rate on the dry soil. The use of smaller depth increments would have improved the calculated results. Figure 13. Comparison of measured and calculated infil tration rates for Ida silt loam at three antecedent moisture levels, using both de sorption and absorption data 103 DRY \ • xe o^oO ~s -o..o.. _c~ o—0--0 FIELD 0 10 o — o- MOIST THEORY r o • DES. ° AGS. r—n——r—~t—t~— 20 30 40 50 TIME (MINUTES) 60 70 Figure 14. Comparison of measured and calculated cumulative infiltration for Ida silt loam at three antecedent moisture levels, using both desorption and absorption data 105 5 DRY 4 3 - o* --o- 2 ^O-O- :i 1 ? o 0 FIELD 4 MOIST THEORY < cr i- 3 2 .A • DES. O ABS. -•*" 1 eoLU > 0 H < 4 WET 3 O 2 I /• 0 0 10 20 30 40 TIME (MINUTES) 50 60 70 106 Although the measured infiltration rates in Figure 13 appear higher at times less than 10 minutes than the calcu lated rates (desorption data), the actual infiltration rate curve is probably intermediate to the measured and calculated curves at small times. This discrepancy between measured and calculated rates can be explained in part by the method of field measurement. Since spray application rates were less than the potential infiltration rate until runoff occurred, the measured rate curves shown in Figure 13 are steeper at times between 5 and 10 minutes than they would have been if water application at all times had been in excess of the in filtration rate. The relatively inaccurate prediction of infiltration rates at small times on the dry soil is reflected in the cumulative curves in Figure 14. However, the agreement be tween measured and calculated curves for the moist and wet soil is considered excellent. These results indicate (1) that the capillary conductivity values obtained by the out flow procedure are quite accurate, (2) that Hanks and Bowers' (1962a) numerical method gives valid estimates of infiltra tion, and (3) that moisture diffusion theory can be a useful tool in the study of practical field problems. 107 Calculated infiltration for various antecedent moisture profiles The calculated curves shown in Figures 13 and 14 are presented together in Figure 15. In addition, data points for a hypothetical "uniform wet" condition are shown for comparison with the "wet" curves. The moisture profile curves in the upper-right-hand corner of the figure show the relative amount of water storage capacity initially available in the soil for each of the antecedent moisture conditions. The "uniform wet" condition, although not too realistic in view of the different x|>(9) relations for the two layers, was included to predict whether displacement of initial water in a uniformly wet profile would increase infiltration above that on a profile with wet surface and drier subsurface con ditions. Considering the expression due to Philip (1957b), Equation (14), it is conceivable that the Kn term could ac count for a greater fraction of cumulative infiltration on the "uniform wet" than on the "wet" soil. However, Kn values corresponding to moisture contents at or below field capacity are not usually great enough to result in much displacement of initial water. If the conductivities corresponding to the moisture contents at 30 cm. depth on the moisture profile curves for the "wet" and "uniform wet" conditions (Figure 15) are used for the values of for each case, the K's (taken from Figure 7) are respectively, K.(27%) = 1.5x10 4cm. per hr. Figure 15. Calculated infiltration for Ida silt loam at four antecedent moisture levels (desorption data) MOISTURE % (BY VOL.) 10 30 50 10 - or DRY MOIST WET UNIFORM WET S 10- n o vO 0 10 30 40 TIME (MINUTES) 20 50 60 110 and K(35%) = 5.5x10 ^ cm. per hr. Although the K at the 35 percent moisture content is 36 times that at 27 percent mois ture, both of these antecedent K values are small compared to the K for saturation (Kq = 6x10 cm. per hr.), so that the Kn term appears insignificant in both cases. In addition, the cumulative infiltration for both conditions is seen in Figure 15 to be more than 3 cm. for a 60 minute period, so _n the 5.5x10 cm. flow given by the K t term in (14) is negligible in this case. Thus, the reason for the slightly greater calculated cumulative infiltration on the "uniform wet" than on the "wet" soil is obscure. The equivalence of calculated infiltration rates indicates little effect of the higher moisture content at greater depths. Calculated moisture profiles corresponding to the infil tration curves in Figure 15 are shown in Figure 16. Three points are noteworthy: (a) The wetting front is most distinct for the ini tially dry soil and becomes more gradual with increasing initial moisture contents. (b) The rate of advance of the wet front is propor tional to the antecedent moisture level. (c) The moisture content of the upper 10 cm. approaches saturation (55 percent) for times greater than 60 minutes, especially on the wet soils. Considerable attention has been given in previous studies to moisture profiles and pressure gradients in the soil as re lated to infiltration rates. The effects of initial moisture Figure 16. Calculated moisture profiles with time during infiltration for Ida silt loam at four antecedent moisture levels (desorption data) 112 MOISTURE CONTENT, (% BY VOL.) 40 60 0 40 60 0 32 i/ 10 - 20 - 30 - MOIST o . 40 i l- 20 0 O t 40 o H QLD 60 0 20 40 A \ 9r 10 - /1 22."^ y 38.^.56y 20 - .7 / 30 40 - WET I 11 J •1i j UN FORM i 60 113 content on the abruptness of the boundary between wet and dry soil at the wetting front and on the rate of advance of the wet front have been noted in laboratory studies and are pre dicted by theory. Colman and Bodman (1944), in comparing the rate of wet front advance on dry and moist soils, concluded that the increased rate of downward penetration of the wet front in the initially moist soil was the result of downward displacement of initial moisture. Philip (I957f) in a detailed theoretical analysis found the velocity of wet front advance to be given by the expression u = (Kq - Kn)/(0Q - ©n) as t in creases without limit. A graph of u versus 6n, the initial moisture content, shows that u increases rapidly as @n in creases. In addition to their observations on wet front advance, Bodman and Colman (1944) distinguished a number of zones in the soil column during infiltration. These zones have been further defined by Philip (1957d) as follows: (a) the saturated zone near the surface, about 1.5 cm. deep; (b) the transition zone, a region of rapid decrease of moisture content extending to a depth of about 5 cm. from the surface; (c) the transmission zone, a region underlying (b) in which the moisture content varies only slowly with both x and t and which lengthens as infiltration proceeds; (d) the wetting zone, in which moisture content changes rapidly both with respect to x and t; 114 (e) the "wet" front in which a very steep moisture gradient represents the visible limit of moisture penetration into the column. The calculated profiles in Figure 16 do not predict zones (b) and (c), but rather show a zone of near saturation from the surface to the wetting zone. Although Philip (1957b) obtained calculated results similar to those in Figure 16, he concluded that the "dog-legs" in the moisture profile curves of Bodman and Colman (1944) represented a real phenomenon. Previous work on the Ida soil by Nielsen et al. (1961), in which mea sured soil moisture profiles were compared with profiles calculated by Philip's numerical procedure, also showed a steeper moisture gradient in the transmission zone of field measured curves than on curves calculated from diffusion theory. The failure of Philip's analysis to account for the transition zone appears to be the result of assuming a unique aj)(6) relation (Philip, 1957d). Moisture content and moisture potential measurements of Miller and Richard (1952) suggest a non-unique i|)(Q) relation for small distances from the surface, and support the presence of a "transition" zone. In a later paper, Philip (1958b) defines a "tension-saturated" zone near the surface in which the moisture content is that of satura tion but the value of i|) is negative, so that i|)(0) is not unique in this zone. The tension-saturated condition is, according to Philip, the result of a non-zero air entry value at the surface of the soil during infiltration. Thus it 115 appears that the curves in Figure 16 may be somewhat in error with respect to the transition and transmission zones, but otherwise, the predicted curves are in accord with measured profiles. Moisture suctions corresponding to the "uniform wet" and "dry" moisture content curves of Figure 16 are summarized in Table 6. The horizontal dashed lines are used to arbitrarily separate what appear to be the "transmission" and "wetting" zones. As would be expected, the suction gradients at the wetting front are much steeper on the dry soil than on the wet. It is probable that the magnitudes of the suction gradients across the wetting front and in the wetting zone largely determine the infiltration rate when the soil surface is not subject to surface sealing. Taylor and Heuser (1953) concluded from measurements of moisture potential on field cores that the suction gradient at the wetting front and in the wetting zone were more important than transmission zone gradients in determining infiltration rates. If the suction gradients at or near the wetting front do represent the principal force causing water to move into the soil, then one might expect measured "equilibrium rates" obtained after a period of 2 or 3 hours to be greater for an initially dry soil than for an initially wet soil. then, appear reasonable. The results in Table 4, Although infiltration theory pre dicts that infiltration rate curves for a number of antecedent 116 Table 6. , Depth cm. Calculated soil water suction (cm. water) for diff of infiltration with the "uniform wet" and "dry" c to moisture contents in Figure 16a Uniform wet Elapsed time, min. 0.6 9.2 22.5 38.6 56.5 6.4 0- 2 207.9 1.5 0.7 0.4 0.2 125.1 2- 4 350.0 36.1 1.4 0.7 0.4 17714.4 4- 6 229.1 16.2 1.0 0.6 6- 8 347.1 54.5 3.6 0.9 241.6 22.8 1.2 10-12 61.6 4.0 12-14 144.1 25.6 14-16 177.5 56.6 8-10 16-18 96.8 18-20 146.4 20-22 173.2 For each time the suction at the greatest depth shown soil at that depth at zero time. Suctions at greater depths pertinent values. ^The horizontal dashed lines in the table designate th< the "transmission" and "wetting" zones. water) for different depths and times after the beginning et" and "dry" conditions with suction values corresponding 1 1 Dry Elapsed time, min. 37.2 25.3 6.4 14.8 51.7 67.5 125.1 9.2 0.8 +0.4 0.9 0.6 17714.4 408.9 15.3 2.0 1.8 1.3 17991.6 1715.0 25.5 17.0 2.4 16000.0 7504.2 64.9 25.5 12940.4 161.1 13653.0 ;st depth shown is relatively close to the suction of the b greater depths are excluded to facilitate reading of Le designate the approximate depth of the boundary between 117 moisture contents will be asymptotic to the rate corresponding to the saturated hydraulic conductivity (Figure lb), very large times may be required for the transmission zone to be come so extended that it exhibits a unit hydraulic gradient. When this occurs the wetting front is so far from the soil surface (on initially dry soils) that the force resulting from the large suction gradient at the wetting front is no longer transmitted to the surface. Such long periods seldom occur with simulated or natural rainfall, hence a difference in 11 equilibrium" rates for initially dry and wet soils can be expected. Suctions for the transmission zone in Table 6 are lower than the 5-20 cm. water measured by Taylor and Heuser (1953), Miller and Richard (1952), and Marshall and Stirk (1949). The low calculated suctions would be expected since the calculated moisture profiles have correspondingly high values. Calculated infiltration with an approximate uniform profile The previous results indicate a surprisingly accurate prediction of antecedent moisture effects from calculations utilizing diffusion theory and laboratory measurements on field cores. The laboratory data used in the calculations were obtained from distinct depths in the soil profile, and therefore, could only approximate the unsaturated moisture flow characteristics of the true profile, It is of interest 118 to consider the necessity of accounting for the flow charac teristics of horizons below the plow layer in attempting to predict infiltration and water movement in the profile. Re sults obtained by Colman and Bodman (1944), Miller and Gardner (1962) and Hanks and Bowers (1962a) indicate that if the sur face horizon is more permeable than the underlying horizon, the latter may essentially control the infiltration process. This is especially true on initially wet soils or for long periods of infiltration. If the surface horizon is suf ficiently conductive relative to the underlying soil, satura tion may occur at the boundary of the two horizons, and posi tive pressures may develop just as if the upper limit of the lower horizon were at the surface and subjected to a positive head. However, if the surface soil is initially dry, lower horizons would, in general, have little influence on infil tration until sufficient time had elapsed for the wetting front to reach the less conductive layer. A possible excep tion is that described by Miller (1959) in which a dense underlying layer limits air movement so that positive air pressures develop ahead of the wetting front, causing a reduc tion in the water intake rate. On soils in which the under lying horizon is more conductive than the surface horizon, the flow characteristics of the surface soil would be expected to dominate, especially when the surface layer is sufficiently deep (Hanks and Bowers, 1962b). Although this situation is 119 not as common as the case of decreasing permeability with depth, it is characteristic of certain Regosols, such as the Ida in the present study, in which little eluviation of col loids has occurred. A limiting surface conductivity also occurs when the immediate soil surface has been rendered impermeable by dispersion due to high sodium saturation, or as a result of surface sealing by rainfall impact, as dis cussed previously. The prediction of infiltration from laboratory measure ments would obviously be simplified if the moisture flow characteristics of only the surface horizon had to be evalu ated. To determine the feasibility of such a procedure, in filtration calculations were accomplished using conductivity and moisture retention data from the 0-15 cm. depth of the Ida soil as an approximation of the flow characteristics of the entire profile. The data points in Figure 17 corre sponding to the approximate single-horizon profile fall very near to the infiltration curves obtained using the twohorizon approximation. Thus, in this case, only the sur face 15 cm. needed to be considered. In summary, it appears that valid prediction of infil tration may be accomplished using conductivity and moisture retention data for the surface horizon only, providing the lower horizons are more conductive to water. Also, evidence in the literature indicates that surface horizon data may Figure 17. Calculated infiltration for Ida silt loam with two simulated profiles, the "approximate" (1 horizon) and the "real" (2 horizons) using desorption data cr PROFILE 10 - u 8 - APPROX o • -5 I.R. C.I. -4 REAL — o «- 3 uto ZD O 0 10 20 30 40 TIME (MINUTES) 50 60 122 adequately describe infiltration for short periods on soils which have less conductive horizons at greater depths if the antecedent moisture level is sufficiently low. 123 SUMMARY AND CONCLUSIONS The influence of antecedent soil moisture on water in filtration was studied in the field and laboratory using the following approach: (a) The antecedent moisture effect on water infiltra tion was estimated by use of moisture diffusion theory employing the numerical procedure of Hanks and Bowers (1962a) and utilizing laboratory mea surements of capillary conductivity and moisture retention. (b) Field measurements of infiltration were made on Ida silt loam at three antecedent moisture levels to check the validity of theory calculations. Other infiltration measurements on both the Ida and Grundy soils under different surface conditions provided an evaluation of the effects of tillage, surface sealing, and soil morphological differences relative to the effect of antecedent moisture. (c) A laboratory rainfall simulator was used to deter mine the influence of initial moisture content of Ida and Grundy soil aggregates on surface sealing by rainfall impact. Calculated infiltration rates were in close agreement with field measured rates, both indicating a marked effect of antecedent moisture on infiltration. The best prediction was accomplished on the initially "wet" soil, with the calculated rate for the "dry" condition being quite erratic and slightly below the measured infiltration rate. The irregularity of the rate curve for the dry soil is probably the result of extreme moisture potential and conductivity differences be tween the wet and dry soil at the wetting front. Moisture 124 retention data for desorption resulted in better infiltration prediction than did the absorption data. The relatively inac curate calculated rates in the latter case may have resulted from using inappropriate diffusivity values in the calcula tions. Calculated infiltration for two antecedent moisture con ditions, which were equally wet in the surface 4 cm. and which differed in moisture content by 8 percent at the 30 cm. depth, indicated no significant difference in water intake. Displacement of initial profile water by infiltrating water on the soil which was wettest (35 percent water) at 30 cm. depth was shown to contribute little to the cumulative infil tration. Calculated moisture profile curves are similar in shape to those obtained by Philip (1957b), who used a dif ferent method to solve the partial differential equation for moisture diffusion. The curves demonstrate a "wetting zone" and "wet front", but do not predict the "saturated", "transi tion", and "transmission" zones observed by Bodman and Colman (1944) since the depths which might be expected to evidence the latter three zones show predicted moisture contents near saturation. Accurate prediction of moisture profiles may in volve the use of a non-unique t|>(0) relation near the soil surface to account for the "tension-saturated" zone suggested by Philip (1958b). The calculated moisture profiles do pre dict an abrupt wetting front on the initially dry soil and a 125 diffuse front on the wet soil, the wetting front becoming more diffuse with time in both cases. In addition, the rate of advance of the wet front is proportional to the antecedent moisture level, in accord with published experimental data. Calculated suction differentials at the wetting front indicate that the high equilibrium infiltration rates mea sured on the dry soil in the field, relative to those mea sured on initially wet soil, were the result of the high suction gradient on the dry soil. Infiltration calculations, based on conductivity and moisture retention data from the surface horizon only, gave results which agreed favorably with those obtained when data for a "two-layer profile" were used. The surface-soil ap proximation appears to be adequate in cases where the under lying horizon is more conductive than the surface soil, and in cases where the lower horizon is less conductive if the antecedent moisture level is sufficiently low. Capillary conductivity data for the Ida soil, obtained by the outflow method, show definite differences in the moisture flow characteristics of soil from the 0-15 cm., 1522.5 cm., and 22.5-30 cm., depths, with excellent duplication of results being obtained on the latter two depths. Con ductivity measurements for both desorption and absorption Indicate a unique Kl©) relation for the 15-30 cm. depth even though hysteresis in the ij)(©) relation was evident. On the 126 other hand, K values for the 0-15 cm. depth measured during absorption are greater at a given moisture content than desorption K values, indicating a non-unique K(9) relation for this depth increment where hysteresis in i|)(9) is more pronounced. Field infiltration rates measured on the Ida and Grundy soils show that in some cases antecedent moisture differences on a given soil may influence infiltration rates as much as tillage, surface sealing, or profile differences between soils. Tillage not only changes the volume and geometry of soil pores, but at the same time decreases the volumetric moisture content in the surface soil. Surface sealing diminishes the effect of antecedent moisture on infiltration since the hydraulic conductivity of the immediate soil sur face limits water flow into the soil and does not allow suc tion gradients to control the rate of infiltration. Surface sealing experiments with a laboratory rainfall simulator showed that the initial moisture content of soil aggregates did affect the rate of surface sealing, but the moisture effect on sealing was different on the two soils. The Ida aggregates were most stable when initially "dry", while the "wet" Grundy aggregates resisted sealing more than those which were "moist" or "dry". A difference in the nature of bonds between particles is probably responsible for the measured difference on the two soils. 127 The excellent agreement of theoretical and measured in filtration in the present study should encourage the applica tion of moisture diffusion theory to a variety of infiltration problems. Various infiltration characteristics calculated for a wide range of conditions can be checked against field results at a few points to establish the validity of theory calculations. In this way the theory can be used to broaden our understanding of phenomena which have important practical implications. The K(9) and 4(9) relations are measurable variables of physical significance in theoretical equations describing water flow in phenomena such as water infiltration, evapora tion, and moisture movement to plant roots. These useful moisture flow properties have been neglected until recent years owing to the difficulty of laboratory measurement of capillary conductivity and the restrictive conditions required to solve moisture flow equations. The outflow procedure of measuring capillary conductivity, as modified by Kunze and Kirkham (1962), and the use of high speed computers to facili tate solution of flow equations, as exemplified by the method of Hanks and Bowers (1962a), make possible a broader applica tion of the moisture diffusion concept to complex problems which arise in the field. 128 LITERATURE CITED Arend, J. L. and Horton, R. E. 1943. Some effects of rain intensity, erosion, and sedimentation on infiltration capacity. Soil Sci. Soc. Amer. Proc. 7: 82-89. Ayers, H. P. and Wikramanayoke, V. E. A. 1958. The effect of the water-storage capacity of the soil on mass infiltration. Canada Jour. Soil Sci. 38: 44-48. Baver, L. D. 1938. Ewald Wollny, a pioneer in soil and water conservation research. Soil Sci. Soc. Amer. Proc. 3: 330-333. Bertoni, Jose, Larson, W. E. and Shrader, W. D. 1958. Determination of infiltration rates on Marshall silt loam from runoff and rainfall records. Soil Sci. Soc. Amer. Proc. 22: 571-574. Bertrand, A. R. and Parr, J. F. 1961. Design and operation of the Purdue sprinkling infiltrometer. Indiana Agr. Expt. Sta. Res. Bui. 723. Black, C. A. 1957. Laboratory methods of soil investigationssoil fertility. 3rd ed. (Mimeo.) Department of Agronomy, Iowa State University of Science and Technology, Ames, Iowa. Bodman, G. B. and Colman, E. A. 1944. Moisture and energy conditions during downward entry of water into soils. Soil Sci. Soc. Amer. Proc. 8: 116-122. Brakensiek, D. L. and Frevert, R. K. 1961. Analysis and application of infiltrometer tests. Trans. Am. Soc. Agric. Eng. 4: 75-77. Browning, G. M. 1939. Volume changes of soils in relation to their infiltration rates. Soil Sci. Soc. Amer. Proc. 4: 23-27. Bruce, R. R. and Klute, A. moisture diffusivity. 458-462. 1956. The measurement of soil Soil Sci. Soc. Amer. Proc. 20: Buchele, Wesley F. 1961. A power sampler of undisturbed soils. Trans. Am. Soc. Agr. Eng. 4: 185-187, 191. 129 Buckingham, Edgar. 1907. Studies on the movement of soil moisture. U. S. Bur. Soils Bui. 38. Cernuda, C. F., Smith, R. M. and Vicente-Chandler, j. 1954. Influence of initial soil moisture on resistance of macro-aggregates to slaking and to water-drop impact. Soil Sci. 77: 19-27. Childs, E. C. 1936a. The transport of water through heavy clay soils. I. Jour. Agr..Sci. 26: 114-127. . 1936b. soils. III. The transport of water through heavy clay Jour. Agr. Sci. 26: 527-545. Colman, E. A. and Bodman, G. B. 1944. Moisture and energy conditions during downward entry of water into moist and layered soils. Soil Sci. Soc. Amer. Proc. 9: 3-11. Diebold, C. H. 1951. Soil layers causing runoff from hardland wheat fields in Colorado and New Mexico. Jour. 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Solutions and tests of the diffusion equation for the movement of water in soil. Soil Sci. Soc. Amer. Proc. 22: 197-201. Green, R. E., Larson, W. E., Amemiya, M. and Moldenhauer, W. C. [1961]. Annual report of cooperative regional projects, project NC-40, water infiltration into soils. (Mimeo.) Department of Agronomy, Iowa State University, Ames, Iowa. Hanks, R. J. and Bowers, S. A. [1962a]. Numerical solution of the moisture flow equation for infiltration in layered soils. [To be published in Soil Sci. Soc. Amer. Proc.]. and . [1962b]. Estimation of infiltration rates from soil moisture properties. [An annual report to the regional committee on infiltration]. (Mimeo.) Department of Agronomy, Kansas State University, Manhattan, Kansas. Hansen, V, E. 1955. Infiltration and soil wgter movement during irrigation. Soil Sci. 79: 93-105. Hodgman, C. D., ed. 1960. Handbook of chemistry and physics. 41st ed. Chemical Rubber Publishing Co., Cleveland, Ohio. Horton, R. E. 1933. The role of infiltration in the hydrologie cycle. Trans. Am. Geophys. Union 14: 446-460. . 1940. An approach toward a physical interpretation of infiltration-capacity. Soil Sci. Soc. Amer. Proc. 5: 399-417. Jamison, V. C. and Thornton, J. Jr. 1961. Water intake rates of a claypan soil from hydrograph analyses. Jour. Geophys. Res. 66: 1855-1860. Kilmer, V. J. and Alexander, L. T. mechanical analyses of soils. 1949. Methods of making Soil Sci. 68: 15-24. Kirkham, Don and Feng, C. L. 1949. Some tests of the dif fusion theory and laws of capillary flow in soils. Soil Sci. 67: 29-40. Klute, A. 1952. A numerical method for solving the flow equation for water in unsaturated materials. Soil Sci. 73: 105-116. 131 Kunze, R. J. and Kirkham, Don. [1962]. Simplified accounting for membrane impedance in capillary conductivity deter minations. [To be published in Soil Sci. Soc. Amer. Proc., Vol. 26]. Ligon, James T. and Johnson, Howard P. 1960. 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An applicator for a laboratory rainfall simulator. [To be published in Agr. Eng.]. Neal, Jesse H. 1938. The effect of the degree of slope and rainfall characteristics on runoff and soil erosion. Missouri Agr. Expt. Sta. Res. Bui. 280. Nielsen, D. R. and Biggar, J. W. 1961. Measuring capillary conductivity. Soil Sci. 92: 192-193. , Kirkham, Don and Perrier, E. R. 1960. Soil capillary conductivity: comparison of measured and calculated values. Soil Sci. Soc. Amer. Proc. 24: 157- 160. 132 , and van Wijk, W. R. 1959. Measuring water stored temporarily above the field capacity. Soil Sci. Soc. Amer. Proc. 23: 408-409. , and . 1961. Diffusion equation calculations of field soil water infiltration profiles. Soil Sci. Soc. Amer. Proc. 25: 165-168. Parr, J. P. and Bertrand, A. R. 1960. Water infiltration into soils. Adv. in Agron. 12: 311-363. Philip, J. R. 1955. The concept of diffusion applied to soil water. Natl. Acad. Science Proc. (India) 24: 93104. . 1957a. 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Capillary conduction of liquid through porous media. Physics 1: 318-333. . 1952. Report of the subcommittee on permeability and infiltration, committee on terminology. Soil Sci. Amer. Proc. 16: 85-88. Robinson, D. 0. and Page, J. B. 1951. Soil aggregate stability. Soil Sci. Soc. Amer. Proc. 15: 25-29. Schiff, L. and Dreibelbis, F. R. 1949. Preliminary studies on soil permeability and its application. Trans. Am. Geophys. Union 30: 759-766. Sokolnikoff, I. S. and Redheffer, R. M. of physics and modern engineering. Co., Inc., New York, N. Y. 1958. Mathematics McGraw-Hill Book Taylor, 5. A. and Heuser, N. C. 1953. Water entry and down ward movement in undisturbed soil cores. Soil Sci. Soc. Amer. Proc. 17: 195-201. Thames, J. L. and Ursic, S. J. I960. Runoff as a function of moisture and storage capacity. Jour Geophys. Res. 65: 651-654. Tisdall, A. L. 1951. Antecedent soil moisture and its rela tion to infiltration. Aust. Jour. Agr. Res. 2: 342-348. Watson, K. K. 1959. A note on the field use of a theoreti cally derived infiltration equation. Jour. Geophys. Res. 64: 1611-1615. Yoder, R. E. 1936. A direct method of aggregate analysis of soils and a study of the physical nature of erosion losses. Jour. Am. Soc. Agron. 28: 337-351. Youngs, E. G. 1957. Moisture profiles during vertical infiltration. Soil Sci. 84: 283-290. 134 ACKNOWLEDGMENTS The author wishes to express special appreciation to Dr. W. E. Larson for his counsel during the study and assistance in preparation of the manuscript. Appreciation is also extended to Dr. M. Amemiya, Dr. W. C. Moldenhauer, and Dr. R. J. Hanks for their assistance in various phases of the study. The description of soil profiles by E. C. A. Runge and 0. Lockridge is also appre ciated. The author is truly thankful for the assistance of his wife, Mary, in typing the preliminary draft and for much encouragement throughout the graduate program. Above all, acknowledgment is given to the One who has made Himself known through His Son and has caused the author to be especially aware of His guidance during the period of graduate study. 135 APPENDIX A Table 7. Profile description of Ida silt loam at the loca tion3 of field infiltration measurements Depth, cm. 0 - 1 6 Horizon Morphology Ap Dark brown (10YR 3/3, moist) very friable silt loam; weak fine granular structure; common lime concretions (less than 1/2 cm.) 16 - 34 C,, Dark yellowish brown (10YR 4/4, moist) friable silt loam; weak medium subangular blocky to massive; common lime concretions (less than 1/2 cm.) 34 - 51 C10 Dark yellowish brown to olive brown (1Y 4/4, moist) friable silt loam; weak medium subangular blocky to massive; common lime concretions (less than 1/2 cm.) 51 - 66 C01 Dark yellowish brown to olive brown (1Y 4.4/4, moist) friable silt loam; massive; few lime concretions 66 - 122 CUr, Yellowish brown to light olive brown (1Y 5/4, moist) few fine faint strong brown (7.5YR 5/8, dry) mottles; friable silt loam; massive; very few lime concretions ^Location: 890 feet south and 160 feet east from the NW corner of NW%, NE%, Section 27, T84N, R43W, Monona County, Iowa (Western Iowa Experi mental Farm). 136 Table 8. Profile description of Grundy silty clay loam at the locationaof field infiltration measurements Depth, cm. Horizon Morphology 0 - 20 A-, Black (10YR 2/1, moist) friable silt loam to light silty clay loam; dry matrix color (10 YR 4/1); weak to moderate fine granular structure (slightly compacted) 20 - 33 A- Mixed very dark gray (10Y 3/1, moist) and dark gray (10YR 4/1, moist) friable light to medium silt clay loam with few fine dark grayish brown (10YR 4/2, moist) mottles; dry matrix color gray (10YR 5/1); moderate very fine to fine granular structure; few fine pores 33 - 48 Bp, Dark gray (10YR 4/1, moist) firm light silt clay with many fine yellowish brown (10YR 5/6 and 5/8, moist) mot tles, and few fine very dark gray (10YR 3/1, moist) mottles ; dry color grayish brown (10YR 5/2); crushed color (10YR 4.5/3, moist); moderate very fine subangular blocky structure; thick discontinuous clay films on ped surfaces; few fine pores ; few 1-2 mm. Mn-Fe concretions 48 - 64 Bpp Dark gray brown (10YR 4/2, moist) firm medium silty clay with common medium yellowish brown (10YR 5/6 and 5/8, moist) mottles and few medium black and very dark gray (10YR 2/1 and 3/1, moist) mottles; dry color light brownish gray (10YR 6/2); crushed color same as matrix; moderate to ^Location: 15 feet west and 20 feet north of NE corner of runoff plots on the Grundy-Shelby Experi mental Farm. NW%}, SW%; T70N, R2SW, Section 35, Ringgold County, Iowa. 137 Table 8. (Continued) Depth, cm. Horizon Morphology strong fine subangular blocky struc ture; thick discontinuous clayfilms on ped surfaces; common 1-3 mm. Mn-Fe concretions; common fine pores 64 - 86 86 - 107 107 - 150 B31 B32C1 cb Grayish brown (2.5Y 5/2, moist) firm light silty clay with common medium yellowish brown (lOYR 5/6 and 5/8, moist) mottles and few medium dark brown to brown (7.5YR 4/4, moist) mot tles; few very dark gray (10YR 3/1, moist) vertical streaks ; crushed color dark grayish brown to brown (10YR 4.5/2.5, moist); moderate fine to medium subangular blocky to angular blocky structure with long vertical cleavage planes ; thin clay films on moist peds; common 1-3 mm. concretions ; common fine pores Grayish brown (2.5Y 5/2, moist) firm silty clay loam with common medium dark brown to brown (7.5YR 4/4, moist) mottles and common fine yellowish brown (10YR 5/6 and 5/8, moist) mottles; crushed color brown to yellowish brown (10YR 5/3.5); weak medium subangular blocky structure with long vertical cleavage planes ; common 1-3 mm. concre tions ; many fine pores Grayish brown (2.5Y 5/2, moist) firm silty clay loam with common medium dark brown to brown (7.5YR 4/4, moist) mottles ; massive; common 1-3 mm. con cretions; many fine pores ^This horizon description is a composite taken from other Grundy descriptions. 138 APPENDIX B Table 9. Measured values of 9, D, and K at various suctions, x|) , for both desorption and absorption on Ida silt loam cores from the 0-7.5 cm. depth (measured on ceramic plate) t|) 9 Unit No. 1 D cm. water % cm.^/hr. K 10 4 cm./hr. x|> 9 Unit No. 5 D cm. water % cm.^/hr. (Desorption) K 10 4 cm./hr. (Desorption) 25 52.8 0.60 4.03 25 51.8 5.72 46.18 60 50.4 1.75 13.18 60 49.0 10.87 83.93 103 47.2 1.91 11.74 103 45.7 6.29 38.91 155 44.0 1.38 7.54 155 5.10 19.70 207 41.2 1.53 6.58 207 42.5 40.5 3.49 8.78 310 36.7 0.45 1.14 310 37.9 2.60 4.89 506 31.8 0.28 0.35 811 28.1 0.14 0.08 506 34.2 2.49 1.48 1240 25.5 0.03 0.01 310 35.4 2.30 2.68 207 36.5 1.31 2.15 155 37.4 1.32 3.58 100 38.8 7.38 33.91 60 40.7 0.39 3.48 25 43.8 2067 , ; » 22.3 i - (Absorption) - - Table 10. Measured values of 9, D, and K at various suctions, t|), for both desorption and absorption on Ida silt loam cores from the 0-7.5 cm. depth (measured on millipore) Unit No. 1 4 cm. water 9 % Unit No. 2 D O cm. /hr. K 10 4 6 cm./hr. % D n cm. /hr. K 10' 4 cm./hr. (Desorption) 0 53.1 105.0 1836 52.9 145.8 1320 10 51.3 336.6 1998 52.0 291.6 1254 27 50.3 174.6 600 51.2 109.2 702 45 49.8 64.8 302 50.3 91.8 714 70 48.6 4.4 47.3 48.3 19.0 224 100 45.4 8.2 41.3 44.8 28.5 200 . (Absorption) 130 43.9 - - 42.7 14.2 69 100 44.5 - - 44.2 25.7 85 70 45.3 - - 45.2 - - 45 46.4 - - 46.7 - - 27 47.0 - - 47.9 - - 12 47.9 - - 49.6 - - aD and K data are not included for absorption measurements which did not fit the theory curves. Table 11. Measured values of 9, D, and K at various suctions, t|> , for both desorp tion and absorption on Ida silt loam cores from the 7.5-15 cm. depth (measured on ceramic plate) o|> 0 Unit No. 2 D cm. water % cm.^/hr. K 10 4 cm./hr. i|) 9 Unit No. 6 D cm. water % cm.^/hr. (Desorption) K 10 4 cm./hr, (Desorption) 25 53.6 1.26 6.38 25 51.9 5.07 37.21 60 51.8 1.70 12.41 60 49.4 6.69 47.26 103 48.6 3.12 24.52 103 46.3 16.31 98.74 155 44.6 0.80 5.28 155 43.2 11.82 44.20 207 40.9 3.47 16.68 207 41.2 6.68 26.89 310 35.9 1.84 4.75 310 37.1 2.91 7.38 506 30.9 0.22 0.31 811 26.7 0.06 0.037 506 32.1 1.83 1.40 1240 23.9 0.02 0.009 310 33.6 2.00 3.94 2067 20.7 - 207 35.9 2.90 8.96 155 37.6 4.14 16.22 100 39.7 2.85 14.86 60 41.8 2.40 22.95 25 45.2 - (Absorption) - - Table 12. 4 cm. water Measured values of 9, D, and K at various suctions, x|) , for both desorp tion and absorption on Ida silt loam cores from the 15-22.5 cm. depth (measured on ceramic plate) 0 Unit No. 3 D % cm.^/hr. K 10 4 cm./hr. 4» cm. water (Desorption) 9 % Unit No. 7 0 p cm. /hr. K 10 4 cm./hr. (Desorption) 25 51.3 0.99 14.5 25 51.8 7.84 119.6 60 46.2 10.03 127.7 60 46.5 22.14 241.1 103 40.7 14.19 131.7 103 41.8 31.52 262.1 155 35.9 8.69 56.0 155 37.5 123.3 207 32.6 12.15 47.0 207 34.4 20.82 11.96 310 28.6 2.67 5.6 310 30.4 4.33 9.4 506 24.5 0.26 0.29 811 21.1 19.0 0.087 0.043 506 26.2 1.53 1.6 0.021 0.007 310 28.2 2.11 5.4 16.4 - - 207 30.9 4.77 20.9 155 33.2 36.6 8.59 53.7 11.22 92.2 7.79 89.8 1240 2067 46.3 (Absorption) 100 60 25 39.9 44.2 - - Table 13. ' i|) cm. water Measured values of 0, D, and K at various suctions, ^, for both desorption and absorption on Ida silt loam cores from the 7.5-15 and 15-22.5 cm. depths (measured on millipore) Unit No. 3 0 D % cm.^/hr. 10 4 K 0 cm./hr. % Unit No. 4 D cm.^/hr. 10 K 4 cm./hr. (Desorption) 0 56.4 - 10 54.6 455.5 27 45 53.3 51.4 120.0 36.5 70 46.7 17.5 100 42.9 18.6 52.6 51.5 - 3438 1476 690 225 145 - 1302 - 7806 3534 50.5 49.0 350 - - 47.3 140 1192 44.7 65 584 (Absorption) 130 40.5 17.5 52.5 42.0 11.0 65 100 41.4 7.9 34.9 43.8 13.9 85 70 42.8 7.8 52.2 45.7 15.5 118, 45 44.8 4.4 46.2 47.6 - - 27 46.0 - - 49.0 - - 12 48.8 - - 51.1 - - Table 14. Measured values of 0, D, and K at various suctions, 4, for both desorp tion and absorption on Ida silt loam cores from the 22.5-30 cm. depth (measured on ceramic plate) 4 0 Unit No. 4 D cm. water % cm.^/hr. K 10 4 cm./hr. x|) 0 Unit No. 8 D cm. water % cm.^/hr. (Desorption) K 10 4 cm./hr. (Desorption) 25 45.9 0.12 2.33 25 45.6 1.47 26.5 60 39.1 1.38 19.86 60 39.3 29.79 300.4 103 32.9 1.64 14.29 103 34.9 17.90 117.6 155 2.21 12.78 155 31.5 173.76 825.7 207 28/4 25.4 6.77 21.7 207 310 29.1 310 1.92 1.89 30.51 7.97 100.8 14.6 506 18.0 0.41 0.34 811 15.5 0.23 0.06 1240 14.4 - 2067 13.7 - 3.60 25.7 (Absorption) 506 22.1 2.43 2.4 - 310 24.0 8.9 - 207 26.6 3.52 6.61 25.4 155 28.6 13.94 79.6 100 31.8 20.02 141.6 60 34.6 7.98 84.7 25 38.6 - - Table 15. Corresponding values of 0, 4aks > ^des ' anc^ ^ used in theory calcula tions of infiltration on Ida silt loam with two approximate horizons 0 Horizon 1 (0-15 cm.) ^abs. cm. water 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 18000 16000 14000 12000 10000 6500 4000 3000 2400 1900 1550 1300 1100 950 820 720 630 550 490 440 390 350 310 275 240 ^des. cm. water 20000 18000 16000 14000 12000 10000 8000 6000 4500 3500 2900 2300 1850 1550 1350 1150 980 850 750 660 590 530 480 430 390 p ^ cm. /hr. 0.00024 0.00033 0.00046 0.00064 0.00090 0.00125 0.00175 0.00245 0.0034 0.0046 0.0065 0.0089 0.012 0.017 0.023 0,032 0.045 0.064 0.088 0.120 0.170 0.22 0.32 0.45 0.62 Horizon 2 (>15 cm.) ^abs. cm. water 12000 9000 7500 4100 2700 2000 1700 1350 1125 950 830 710 620 540 475 420 370 325 285 250 225 195 175 155 140 ^des. cm. water 16000 14000 12000 10000 6000 4000 2900 2200 1700 1350 1150 950 820 700 610 530 470 410 370 330 295 265 240 220 200 ^ ^ cm. /hr. 0.00034 0.00054 0.00087 0.0014 0.0022 0.0035 0.0056 0.0090 0.014 0.022 0.036 0.057 0.092 0.145 0.235 0.370 0.600 0.950 1.50 2.45 3.85 5.20 7.00 9.00 11.5 Table 15. (Continued) 0 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 Horizon 1 (0-15 cm.) ^abs. ^des. 2° cm. water cm. water cm. /hr. 215 190 160 135 115 95 73 57 44 34 27 19 13.5 9.4 6.3 4.0 2.6 1.7 0 350 320 290 270 250 230 205 185 170 155 140 125 110 93 80 65 50 30 20 3 0 0.86 1.20 1.65 2.30 3.20 4.50 6.20 8.50 11.0 16.5 23 31 40 52 68 90 118 158 215 320 600 Horizon 2 (>15 cm.) ^abs. ^des. 2° cm. water cm. water cm. /hr. 125 110 96 . 82 70 59 49 40 33 26 19 14 9.5 5.8 3.3 1.8 0 180 165 150 135 125 115 105 97 88 79 71 63 55 48 40 32 19 5 0 14.0 17.0 21.0 25.0 30.0 34.5 40 46 54 62 74 90 115 145 185 250 520 1800 5800
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